Machine Learning List: Volume 18, Number 3, Wednesday, March 15, 2006
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Contents Calls for Papers and Participation
ECAI 2006 Workshop on Inductive Programming
ECAI Workshop on Evolutionary Computation
Ninth International Workshop on Learning Classifier Systems
ICONIP 2006
GECCO Workshop on Adaptive Representations
IEEE/WIC/ACM WI-IAT'06
FLAIRS06
AISB'06
Competitions
Machine Learning Competition for Brain Image Analysis
XML Document Mining Challenge 2006
ECML-PKDD Discovery Challenge 2006
Reminders
AAAI-06 Workshop on Learning for Search
Special Issues
Machine Learning for Computer Security
Book Announcements
Machine Learning and Data Mining for Computer Security
Career Opportunities
Openings at JPL
Postdoctoral position at the University of Washington
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The Machine Learning List is moderated. Contributions should be relevant
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criteria.
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Date: Fri, 10 Feb 2006 13:36:15 +0100
From: Emanuel Kitzelmann <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: ECAI 2006 Workshop on Inductive Programming
Call for papers
ECAI 2006 - Workshop on Approaches and Applications
for Inductive Programming (AAIP)
The second workshop on inductive programming will be held on Tuesday,
29th August 2006 in conjunction with the 17th European Conference on
Artificial Intelligence (ECAI 2006) in Riva del Garda, Italy.
ECAI 2006 page:
http://ecai2006.itc.it/cda/aree/ AAIP Workshop page:
http://www.cogsys.wiai.uni-bamberg.de/aaip06/
In the workshop, we aim at bringing together researchers working
on different approaches to inductive programming with the goal of
discussing and evaluating the relative strengths and limitations of
the different approaches (class of learnable programs, quality of
learned programs, amount of background knowledge needed for synthesis,
efficiency of synthesis, etc.). Furthermore, we are interested in
presenting current applications and discussing possible further
application domains. The workshop will be interesting to anyone
studying the synthesis of general programs. Relevant areas include
but are not limited to inductive logic programming, evolutionary
programming, synthesis of functional programs, grammar inference and
algorithmic learning theory. Submitted papers can report on work in
progress (4-12 pages) or be full papers (6-12 pages). All submissions
will be peer reviewed by two referees. Accepted papers will be
published in the workshop proceedings.
Authors should submit papers using the same format and length as will
be required for the final version in the proceedings which will be
made available to the participants in electronic form prior to the
workshop. Authors are encouraged to use the style provided for
standard submission to ECAI available via the ECAI web pages.
To submit your paper, please send it as pdf with e-mail to
emanuel.kitzelmann(at)wiai.uni-bamberg.de together with an indication
whether the paper is a work in progress report or a full paper. Please
also indicate (per email to the address above)if you do not wish to be
included in the mailing list for the workshop where discussions on
relevant open problems and possibilities for cooperation may take
place before the workshop begins.
April 15, 2006 Deadline for submissions
May 10, 2006 Notification of workshop paper acceptance
May 24, 2006 Workshop camera ready copy submission
Aug 29, 2006 Workshop
More information about the workshop and the program committee can
be found at the workshop web page:
http://www.cogsys.wiai.uni-bamberg.de/aaip06/index.html
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Date: Fri, 10 Feb 2006 17:44:38 +0100
From: Stefano Cagnoni <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: ECAI Workshop on Evolutionary Computation
CALL FOR PAPERS
ECAI Workshop on Evolutionary Computation (incorporating GSICE06)
Riva del Garda, Italy
28 August 2006
Evolutionary Computation (EC) has been attracting more and more
researchers in the last years. Europe is playing a primary role in
EC, which is testified both by the number and quality of European
contributions to the literature in the field and by the relevance
that European Conferences in EC and related fields have acquired
through the years. Such conferences have fostered the creation of a
rather wide European community of researchers in EC. As usually
happens with scientific disciplines which are entering their maturity
stage, also in the EC community the need is felt for: more direct
contacts and comparisons with people working in related disciplines
or tackling, with different techniques, problems similar to the many
to which EC offers effective solutions; the development of hybrid
systems which could take advantage of the best features offered by
EC techniques and by techniques belonging to AI at large; "enrollment"
of young students and researchers who can sustain the development
trend of the field and guarantee a future as brilliant as the present,
or possibly even more brilliant, to the discipline. The organization
of a workshop at ECAI aims at satisfying these needs for the chances
it offers of interaction, knowledge exchange, and debate with the most
prominent representatives of AI research worldwide.
The workshop will comprise tutorials and technical presentations, in
order to address the participation of as wide an audience as possible,
from researchers and students who are already working in the field of
Evolutionary Computation and Artificial Intelligence to representatives
of industry and everyone interested in evolutionary computation from
the point of view of both basic research and applications. ECAI will
incorporate, and significantly extend towards an international audience,
GSICE 2006, the second Italian Workshop on Evolutionary Computation
(Giornata di Studio Italiana sul Calcolo Evolutivo), sponsored by the
Italian Association for Artificial Intelligence (AI-IA). A successful
first edition of GSICE has been held in Milan in September 2005,
concurrently with the Ninth Congress of AI-IA.
Papers are sought, reporting original research results on topics which
include, but are not limited to: Evolutionary computation theory;
Real-world applications; Comparison between results of evolutionary
methods and the state of the art in different application fields;
Hybrid evolutionary/non-evolutionary methods
Papers must be submitted by April 15,2006. Contributions must be in
English and must be submitted by email, in Postscript or pdf format,to
the address [EMAIL PROTECTED] Papers must not exceed 5 pages in
the same format used for regular submissions to ECAI 2006 (for further
details see http://ecai2006.itc.it).
Website: http://www.ce.unipr.it/gsice2006
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Date: Sat, 11 Feb 2006 16:58:36 -0600
From: Xavier Llor <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: Ninth International Workshop on Learning Classifier Systems
NINTH INTERNATIONAL WORKSHOP ON LEARNING CLASSIFIER SYSTEMS to be held
as part of the 2006 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
(GECCO-2006) July 8-12, 2006 (Saturday-Wednesday)
Renaissance Seattle Hotel, Seattle, Washington, USA
Organized by ACM SIG-EVO
www.sigevo.org/GECCO-2006
Since Learning Classifier Systems (LCSs) were introduced by Holland as
a way of applying evolutionary computation to machine learning problems,
the LCS paradigm has broadened greatly into a framework encompassing
many representations, rule discovery mechanisms, and credit assignment
schemes. Current LCS applications range from data mining to automated
innovation to on-line control. Classifier systems are a very active
area of research, with newer approaches, in particular Wilson's
accuracy-based XCS, receiving a great deal of attention. LCS are also
benefiting from advances in the field of reinforcement learning,
and there is a trend toward developing connections between the two
areas. We invite submissions which discuss recent developments in
all areas of research on, and applications of, Learning Classifier
Systems. IWLCS is the only event to bring together most of the core
researchers in classifier systems. A free introductory tutorial
on LCS will be presented at GECCO 2006. Submissions There are two
possibilities for paper submissions. Both will be peer reviewed, but
reviews of short papers will be mainly to provide feedback to authors;
we expect most or all will be accepted.
1) Short papers of up to 4 pages may be submitted. Accepted short papers
will be presented at the workshop and published in the GECCO workshop
volume. The format of the GECCO workshop volume is to be confirmed but
we expect it will be the ACM format used in 2005. After the workshop
authors will be invited to submit full papers which are reviewed again
for the post-workshop proceedings, which we plan to publish in
Springer's LNAI series as in past years.
2) Full papers of up to 20 pages (in Springer format) may be submitted
for peer review before the workshop. Accepted full papers will be
presented at the workshop and will be published in the post-workshop
proceedings. Authors of full papers have a choice of how to contribute
to the GECCO workshop volume: either i) prepare a short version for
GECCO or ii) publish only your abstract in the GECCO book. If you prefer
i) we would suggest an extended abstract of 1 or 2 pages, but anything
up to 50% of the full paper is okay.
Important dates
March 17, 2006 Paper submission deadline
April 3, 2006 Decisions about decisions
April 19, 2006 Proceedings camera-ready copy
July 8-9, 2006 Workshop
Further information and a complete CFP can be found at:
http://gal31.ge.uiuc.edu/lcs-n-gbml/
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Date: Mon, 13 Feb 2006 15:10:03 +0800
From: ICONIP2006 <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: ICONIP 2006
CALL FOR PAPERS
13th International Conference on Neural Information Processing
Hong Kong Convention and Exhibition Centre, Hong Kong
October 3-6, 2006
The Thirteenth International Conference on Neural Information Processing
(ICONIP2006) sponsored by the Asia Pacific Neural Network Assembly and
organized by The Chinese University of Hong Kong, will be held in Hong
Kong on October 3-6, 2006. You are invited to visit this vibrant and
dynamic metropolitan to share the progress and research in neural
computation, statistical processing, machine learning, and other
related topics. ICONIP 2006 will include plenary speakers, invited
talks, tutorials, special sessions, as well as highly selected oral
and poster presentations of refereed papers. In addition, conference
social events along with other local attractions will promote
interactions among conference delegates.
Tutorial and Special session proposal: April 1, 2006
Paper submission deadline: April 1, 2006
Notification of acceptance: June 1, 2006
Final paper submission: July 1, 2006
Submissions are solicited in all areas of neural information processing,
including (but not limited to) the following:
Neural Network Theory and Models: Mathematics of neural networks;
Advanced learning algorithms/models; Neurodynamics; Stability and
convergence analysis; Feed forward neural networks; Recurrent neural
networks; Evolving neural networks; Self-organizing networks;
Reinforcement learning; PCA and ICA; EM algorithm and mixture models;
Ensemble learning; Kernel methods and support vector machines
Computational Neuroscience and Cognitive Science: Models of neurons;
Simulation of neurons, networks, and systems; Neuroinformatics;
Cognitive learning and memory; Attention and consciousness; Language;
Emotion and motivation; Perceptual systems
Neural Network Applications: Vision and image processing; Pattern
recognition; Auditory processing; Speech processing/recognition;
Robotics and control; Biometric and security; Time-series prediction;
Financial engineering; Telecommunication; Manufacturing systems;
Bioinformatics; Data mining/Web mining; Multimedia and information
processing
Hybrid Systems and Hardware: Fuzzy neural systems; Hybrid systems;
Genetic algorithms; Evolutionary programming; Reconfigurable systems;
Hardware implementation
ICONIP2006 Secretariat Dept. of Computer Science & Engineering
The Chinese University of Hong Kong, Shatin, NT, Hong Kong
Web site: http://www.iconip2006.org/
E-mail: [EMAIL PROTECTED]
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Date: Tue, 14 Feb 2006 08:51:35 +0100 (MET
From: Edwin de Jong <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: GECCO Workshop on Adaptive Representations
Call for Papers
Workshop on Adaptive Representations
to be held as part of the
2006 Genetic and Evolutionary Computation Conference (GECCO-2006)
Seattle, Washington, USA,
July 8-12, 2006
http://homepages.inf.ed.ac.uk/mtoussai/gecco06/index.html
Nature has developed an ingenious language to describe organisms: the
genetic system. From theory we know that the choice of representation
has a crucial influence on the search distribution and the chances to
find solutions in a search process. In this view, how can we learn a
suitable representation from previous evaluations of samples that will
facilitate the search for better solutions? And how can continuous
self-adaptation of the representation in evolutionary processes be
performed and understood? In this workshop we would like to gather
work from different approaches to these questions and initiate a
discussion, particularly between people from different theoretical,
experimental, or biological backgrounds, aiming at a common framework
and language to address such questions.
We encourage theoretical as well as experimental contributions that
investigate how efficient representations can be explicitly learned
from data or developed adaptively, e.g. for interesting applications.
We explicitly also encourage contributions that discuss the evolution
of the natural genetic language as such, either from a phenomenological
viewpoint, or with regard to the possible underlying mechanisms of
this evolution, or in view of theoretical insights in the role of
representations in general search processes.
We encourage full paper submissions (GECCO guidlines) which, on
acceptance, will appear in the GECCO workshop proceedings. Please
follow the GECCO formatting instructions and submit papers in pdf
format to [EMAIL PROTECTED]
Important Dates
March 31, 2006: Papers due
April 5, 2006: Acceptance notices
April 19, 2006: Camera-ready revisions due
Please, for further information refer to the workshop's home page
http://homepages.inf.ed.ac.uk/mtoussai/gecco06/index.html
We are looking forward to seeing you there!
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Date: Fri, 17 Feb 2006 12:31:33 +0900
From: WI/IAT'06 <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: IEEE/WIC/ACM WI-IAT'06
Call for Workshop Proposals
2006 IEEE/WIC/ACM International Joint Conference on
Web Intelligence and Intelligent Agent Technology (WI-IAT'06)
18-22 December 2006
Hong Kong Convention and Exhibition Centre, Hong Kong, China,
http://www.comp.hkbu.edu.hk/~wii06
Each workshop subject will focus on new research challenges and
initiatives in Web Intelligence (WI) and Intelligent Agent Technology
(IAT). Suggested, but not limited to, workshop topics include:
Intelligent E-Technology; Intelligent Human-Web Interaction; Knowledge
Grids and Grid Intelligence; Semantics and Ontology Engineering;
Social Networks and Social Intelligence- Ubiquitous Computing; Web
Agents; Web Information Filtering and Retrieval; Web Mining and
Forming; Web Security, Integrity, Privacy and Trust; Web Services
and Grid Services; Web Support Systems; World Wide Wisdom Web; Agent
Systems Modeling and Methodology; Autonomous Knowledge and Information
Agents; Autonomous Auctions and Negotiation; Autonomy-Oriented
Computing; Learning and Self-Adapting Agents; Distributed Intelligence
Workshop proposals should include the following elements:
Title of the workshop
Your name, affiliation, mailing address and e-mail address
A description of the topic of the workshop (not exceeding 200 words)
The type of workshop (full-day or half-day)
A description of how the workshop will contribute to the field of
Web Intelligence and/or Intelligent Agent Technology
A short description of how the workshop will be advertised to ensure
a sufficiently wide range of authors and high quality papers
April 10, 2006: Workshop proposal submission due
April 20, 2006: Notification to workshop proposers
April 30, 2006: Each workshop organizer Calls for Workshops Papers
July 30, 2006: Due date for full workshop papers submission
September 5, 2006: Final acceptance by Workshop Co-Chairs
September 8, 2006: Notification of paper acceptance to authors
October 8, 2006: Camera-ready of accepted papers
December 18, 2006: Workshop day
We look forward to your support in making 2006 IEEE/WIC/ACM WI-IAT
workshops an exciting event.
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Date: Sun, 19 Feb 2006 21:44:49 -0500 (EST)
From: FLAIRS 2006 <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: FLAIRS06
CALL FOR PARTICIPATION
19th International FLAIRS Conference
Crowne Plaza--Melbourne Oceanfront
Melbourne Beach, Florida
May 11-13, 2006
http://www.indiana.edu/~flairs06
FLAIRS invites you to participate in the 19th FLAIRS International
Conference, a forum on the latest advances in artificial intelligence.
The conference will be held at the Crowne Plaza--Melbourne Oceanfront
Hotel, Melbourne Beach, Florida, May 11-13, 2006.
Discounted early registration is due April 10, 2006.
More information can be obtained from the conference web site
http://www.indiana.edu/~flairs06
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Date: Tue, 21 Feb 2006 19:56:16 +0000
From: James Marshall <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: AISB'06
AISB'06: Adaptation in Artificial and Biological Systems
3rd-6th April
Early registration closes on March 6th 2006. For further details
please visit the convention website:
http://www.aisb.org.uk/convention/aisb06/
Symposia:
Artificial Immune Systems and Immune System Modelling - 4th April 2006
Associative Learning and Reinforcement Learning - 3rd April 2006
Biologically Inspired Robotics (Biro-net) - 3rd to 4th April 2006
Machine Consciousness - 5th to 6th April 2006
Network Analysis in Natural Sciences and Engineering - April 5-6 2006
Motor Development - 5th April 2006
Narrative AI and Games - 5th to 6th April 2006
Nature Inspired Systems - 4th April 2006:
Nature-Inspired Systems for Parallel Asynchronous and
Decentralised Environments
Exploration vs Exploitation in Naturally Inspired Search
Navigation Debate - 6th April 2006
Social Insect Behaviour: Theory and Applications - 5th April 2006
Grand Challenge 5: Architecture of Brain and Mind - 3rd to 4th April 2006
Co-located Events:
Adaptive Computing in Design and Manufacture, April 25th to 27th 2006
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Date: Thu, 23 Feb 2006 21:37:10 -0500
From: Tom Mitchell <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: Machine Learning Competition for Brain Image Analysis
Pittsburgh Brain Activity Interpretation Competition:
Inferring Experience Based Cognition from fMRI
$10,000 first prize
Awards to be presented at the
Organization for Human Brain Mapping Conference
June 15, 2006, Florence, Italy
Prizes: 1st $10,000; 2nd $5,000; 3rd $2,000 (US dollars)
For details see: http://www.ebc.pitt.edu/competition.htm
We are pleased to announce a machine learning competition involving
brain image data. The data set to be provided is a time series of fMRI
images that reflect activity in a human subject's brain while they watch
a movie. The classification task is to predict when the human subject
sees a face in the movie, who was it, whether anybody was speaking, and
a variety of other cognitive experiences of the subject who is viewing
the movie.
This competition is being organized by the Organization for Human Brain
Mapping, and is designed to make it easy for researchers unfamiliar with
fMRI to participate (e.g., by preprocessing and documenting the data
sets). The purpose of this competition is to challenge groups to infer
subjective experience from a rigorously collected fMRI data set
associated with viewing of movies (with a quantitative metric of
success). The goal is to advance our understanding of how the brain
encodes, represents, and operates on dynamic experience.
To advance the methodology and assess the state of the science,
competitive prizes will be awarded to groups who best predict subjective
ratings on multiple dimensions from their fMRI signal. Groups from all
nations and disciplines are encouraged to participate. Entries can be
individuals, research groups or classes. Interdisciplinary efforts
across computational/cognitive neuroscience communities are encouraged.
There are no restrictions on publication of the data other than
crediting the data source and maintaining subject confidentiality.
Awardees will be required to describe their methods and either present
the methods or provide written descriptions at the Competition Workshop
at the Organization for Human Brain Mapping June 11-15, 2006 in
Florence, Italy. This competition is run by the Experience Based
Cognition Research group at the University of Pittsburgh under a DARPA
basic research grant.
All decisions will be made by the competition scientific advisory
board including W. Schneider and G. Siegle (University of Pittsburgh -
coordinating site); A. Bartels (Max Planck Institute for Biological
Cybernetics); E. Formisano and R. Goebel (Maastricht University);
J. Haxby (Princeton University); U. Hasson (New York University and
Weizmann Institute); T. Mitchell (Carnegie Mellon University);
T. Nichols (University of Michigan).
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Date: Thu, 2 Mar 2006 13:24:52 +0100
From: Ludovic Denoyer <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: XML Document Mining Challenge 2006
Call For Participation
XML-MINING CHALLENGE 2006
Classification - Clustering - Structure Mapping - for XML documents
Co-organized by the EU Pascal Network of Excellence and
INEX (Initiative for the Evaluation of XML Retrieval)
from the Delos Network of Excellence
The general objective of the challenge is to develop machine learning
methods for structured data mining and to evaluate these methods for
XML document mining tasks. The challenge features three tasks:
classification, clustering and Structure Mapping for XML documents.
Participation is open to all. XML document collections have been
gathered for the challenge and will be provided to the participants.
Results will be presented at the challenge workshop to be held in
July or September 2006 (to be fixed).
2006 March 15: Training data available
2006 May 15: Test data available
2006 June 1: Deadline for submitting test results
2006 July/September: Challenge workshop
More information is available at the challenge web site:
http://xmlmining.lip6.fr
Contact: [EMAIL PROTECTED], [EMAIL PROTECTED]
http://www.pascal-network.org/
http://inex.is.informatik.uni-duisburg.de/2005/
This is the second round of the XML-Mining Challenge. The first was
run in 2005 with a presentation of the results at the INEX workshop
in November 2005.
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Date: Fri, 03 Mar 2006 16:44:33 +0100
From: Steffen Bickel <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: ECML-PKDD Discovery Challenge 2006
CALL FOR PARTICIPATION
ECML-PKDD Discovery Challenge 2006
Personalized Spam Filtering and
Generalization Across Related Learning Tasks
http://www.ecmlpkdd2006.org/challenge.html
The Discovery Challenge 2006 will be held in conjunction with the
ECML-PKDD Conference.
This year's competition is about personalized spam filtering and
generalization across related learning tasks. People spend an
increasing amount of time for reading messages and deciding whether
they are spam or non-spam. Some users spend additional time to label
their received spam messages for training local spam filters running
on their desktop machines. Email service providers want to relieve
users from this burden by installing server-based spam filters.
Training such filters cannot rely on labeled messages from the
individual users, but on publicly available sources, such as newsgroup
messages or emails received through "spam traps" (spam traps are email
addresses published visually invisible for humans but get collected by
the web crawlers of spammers).
This combined source of training data is different from the
distributions of the emails received by individual users. When
learning spam filters for individual users from this type of data one
needs to cope with a discrepancy between the distributions governing
training and test data and one needs a balance between generalization
and adaptation. The generalization/adaptation can rely on large
amounts of unlabeled emails in the user's inboxes that are accessible
for server-based spam filters. Utilizing this unlabeled data a spam
filter can be adapted to the properties of specific user's inboxes but
when little unlabeled data for a user are available a generalization
over multiple users is advised.
We provide labeled training data collected from publicly available
sources. The unlabeled inboxes of several users serve as test data.
The inboxes differ in the distribution of emails. The goal is to
construct a spam filter for each single user that correctly classifies
its emails as spam or non-spam. A clever way of utilizing the
available sets of unlabeled emails from different users is required.
There will be a Discovery Challenge workshop at ECML-PKDD 2006 in
Berlin, where we will discuss the results, different approaches, and
other issues related to the problem setting.
March 1, 2006: Tasks and datasets available online
June 7, 2006: Submissions of results results due
June 12, 2006: Notification of winners
June 26, 2006: Workshop paper submission deadline
Sept. 18-22, 2006: ECML-PKDD Conference/Discovery Challenge Workshop
We are looking forward to an interesting competition and encourage
your participation.
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Date: Thu, 2 Mar 2006 10:36:43 PST
From: Wheeler Ruml <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: AAAI-06 Workshop on Learning for Search
The AAAI-06 Workshop on Learning for Search
http://www.cs.ubc.ca/~hutter/aaai06_ws
The submission deadline is March 31, 2006. Submissions should be sent
in .pdf format via email to [EMAIL PROTECTED]
Also note that per AAAI policy, participation in the workshop is by
invitation only and all workshop participants must register for the
main AAAI-06 conference.
Anyone interested in the workshop topic is invited to join the Yahoo
group http://groups.yahoo.com/group/learning_for_search/
Please note that, in addition to the "Learning for Search" workshop,
there will also be a separate workshop at AAAI-06 on "Heuristic Search,
Memory-based Heuristics and Their Applications". While our workshop
will be held on Sunday, July 16, that workshop is scheduled for Monday,
July 17, and people may submit to both workshops if they wish.
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Date: Fri, 24 Feb 2006 18:55:59 -0500
From: Philip Chan <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: Machine Learning for Computer Security
Call For Papers
Machine Learning for Computer Security
Special Issue in Journal of Machine Learning Research
http://www.cs.fit.edu/~pkc/mlsec/
As computers have become more ubiquitous and connected, their security
has become a major concern. Of interest to this special issue is
research that demonstrates how machine learning (and data mining)
techniques can be used to improve computer security. This includes
efforts directed at improving security of networks, hosts, and
individual applications or computer programs. More details are
available at the above URL.
Submission Deadline: March 15, 2006
Notification: May 15, 2006
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Date: Sat, 11 Feb 2006 09:45:53 -0500 (EST)
From: Marcus A. Maloof <[EMAIL PROTECTED]>
To: ml@isle.org
Subject: Machine Learning and Data Mining for Computer Security
Methods and Applications
New Book Announcement
Series: Advanced Information
and Knowledge Processing 2006, XVI, 210 p. 23 illus., Hardcover ISBN:
1-84628-029-X Springer, London "Machine Learning and Data Mining for
Computer Security" provides an overview of the current state of research
in machine learning and data mining as it applies to problems in
computer security. The first part surveys the data sources, the
learning and mining methods, evaluation methodologies, and past work
relevant for computer security. The second part consists of articles
written by the top researchers working in this area. These articles
deal with topics of host-based intrusion detection through the analysis
of audit trails, of command sequences and of system calls as well as
network intrusion detection through the analysis of TCP packets and the
detection of malicious executables.
Contents
Foreword, Dorothy Denning
An Introduction to Information Assurance, Clay Shields
Some Basic Concepts of Machine Learning and Data Mining, Marcus A. Maloof
Learning to Detect Malicious Executables, Jeremy Z. Kolter,
Marcus A. Maloof
Data Mining Applied to Intrusion Detection: MITRE Experiences,
Eric E. Bloedorn, Lisa M. Talbot, David D. DeBarr
Intrusion Detection Alarm Clustering, Klaus Julisch
Behavioral Features for Network Anomaly Detection, James P. Early,
Carla E. Brodley
Cost-Sensitive Modeling for Intrusion Detection, Wenke Lee, Wei Fan,
Salvatore J. Stolfo, Matthew Miller
Data Cleaning and Enriched Representations for Anomaly Detection in
System Calls, Gaurav Tandon, Philip Chan, Debasis Mitra
A Decision-Theoretic, Semi-Supervised Model for Intrusion Detection,
Terran Lane
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Date: Tue, 14 Feb 2006 14:03:12 -0800
From: Steve Chien <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: Openings at JPL
Employment Opportunities in Artificial Intelligence and
Machine Learning at JPL
The Artificial Intelligence Group and the Machine Learning and
Instrument Autonomy Group at the Jet Propulsion Laboratory (JPL),
California Institute of Technology are seeking candidates at the BA/BS,
MA/MS and PhD level to work on fundamental research problems leading to
unique software applications in spacecraft autonomy, scientific data
analysis, mission operations automation, and onboard analysis for
real-time decisions. Openings exist for research and development in:
planning and scheduling, multi-agent systems, operations research,
pattern recognition, data mining, machine learning, and data
fusion. Responsibilities for these openings range from research
program development to software design and development.
Candidates must hold a degree in Computer Science, Electrical
Engineering or a related area, and must possess programming skills
in C/C++ and/or Java.
Past projects have included research, demonstration, and deployment
for autonomous single rovers and rover swarms, as well as a range
of machine learning and data mining efforts. Current tasks include
onboard dust devil and cloud detection for the Mars Exploration
Rovers, crop classification and yield prediction using multiple
data sets. Recent deployments include the use of the ASPEN system
to automate mission planning for several missions including the
Autonomous Science craft (ase.jpl.nasa.gov) onboard the EO-1
spacecraft (co-winner 2005 NASA Software of the Year), and a cloud
cover classifier for data from the MISR instrument. This work has
generated new research results on the path towards unprecedented AI
and ML applications.
For further information see our web sites at: ai.jpl.nasa.gov and
ml.jpl.nasa.gov
If you are interested in applying for one of these positions, please
send a resume and any other supporting materials to the address below
(electronic submission of resumes encouraged). Please include an e-mail
address and phone number at which you can be reached. Recent graduates
are strongly encouraged to apply. Please include information on your
citizenship status with your application.
Steve Chien and Rebecca Castano
Send email submissions to: [EMAIL PROTECTED]
------------------------------------------------------------------------
Date: Thu, 02 Mar 2006 15:47:55 -0800
From: Pedro Domingos <[EMAIL PROTECTED]>
To: ML List <ml@isle.org>
Subject: Postdoctoral position at the University of Washington
We have an opening for a Research Associate in the Department of
Computer Science and Engineering at UW. The successful candidate will
join the group of PI Pedro Domingos, and lead research on transfer
learning and statistical relational learning. The appointment is for
twelve months, renewable, starting at the earliest feasible date. A
PhD in machine learning or a related field is required. To apply, send
vita, letter of interest, three relevant publications, and contact
information to Patrick Allen ([EMAIL PROTECTED]). AA/EOE
____________________________________
End of ML-LIST Digest Vol 18, No. 3
