*************************************************************************
Machine Learning List: Volume 19, Number 1
Monday, February 5, 2007
*************************************************************************
Contents
Call For Papers
International Conference on Machine Learning
Evaluation Methods for Machine Learning II
FUZZ-IEEE: Advances in Incremental Learning
Demonstrations at International Conference on User Modeling
Workshop on Data Representation Discovery
Analysis of Genetic Representations and Operators
Towards User Modelling and Adaptive Systems for All
Data Analysis in BioMedicine And Pharmacology
Natural Language Conference/Empirical Methods and Learning
Uncertainty in Artificial Intelligence
Personalizing Real and Virtual Explorations of Cultural Heritage
What Went Wrong and Why
Graduate Program
PhDs in Neuroinformatics/Computational Neuroscience in UK
Book Publication
Two Books on Data Mining
Software Release
ABL 1.0 Alignment-Based Learning
*************************************************************************
The Machine Learning List is moderated. Contributions should be relevant
to the scientific study of machine learning. Please send submissions for
distribution to: [EMAIL PROTECTED] For requests to be added, removed, or to
change your email address, send email to: [EMAIL PROTECTED] To keep
mailings to a manageable size, please keep submissions brief. For meeting
announcements, we will publicize only the name, location, URL, and key
dates. The ML List moderator reserves the right to omit/edit submissions
to meet these criteria.
*************************************************************************
Date: Jan 31, 2007
From: Pat Langley <[EMAIL PROTECTED]>
Subject: International Conference on Machine Learning
Call for Papers
24th International Conference on Machine Learning
Corvallis, Oregon, USA, June 20-24, 2007,
http://oregonstate.edu/conferences/icml2007/
Abstract Submission Deadline: February 7, 2007
Full Paper Submission Deadline: February 9, 2007
-------------------------------------------------------------------------
Date: Dec 6, 2006
From: William Elazmeh <[EMAIL PROTECTED]>
Subject: Evaluation Methods for Machine Learning II
Call for Participation
22nd National Conference on Artificial Intelligence
Workshop on Evaluation Methods for Machine Learning II
Vancouver, BC, Canada, July 22-26, 2007
http://www.site.uottawa.ca/~welazmeh/conferences/AAAI-07/workshop/
Submission Deadline: April 1, 2007
Camera-ready Deadline: May 15, 2007
-------------------------------------------------------------------------
Date: Dec 19, 2006
From: Abdelhamid Bouchachia <[EMAIL PROTECTED]>
Subject: FUZZ-IEEE: Advances in Incremental Learning
Call for Papers
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007)
London, UK, July 23-26, 2007
Website: http://www.fuzzieee2007.org/
Tutorials/Special Sessions Deadlines: November 30, 2006
Paper Submission Deadline: January 31, 2007
Camera-ready Deadline: May 1, 2007
-------------------------------------------------------------------------
Date: Dec 21, 2006
From: Alexandros Paramythis <[EMAIL PROTECTED]>
Subject: Demonstrations at International Conference on User Modeling
Call for Demonstrations
11th International Conference on User Modeling (UM07)
Corfu, Greece, June 25-29, 2007
http://www.iit.demokritos.gr/um2007/
Submission Deadline: February 23, 2007
-------------------------------------------------------------------------
Date: Jan 5, 2007
From: Isabelle Guyon <[EMAIL PROTECTED]>
Subject: Workshop on Data Representation Discovery
Call for Papers
International Joint Conference on Neural Networks (IJCNN07)
Workshop on Data Representation Discovery
Orlando, Florida, USA, August 16, 2007
http://clopinet.com/isabelle/Projects/agnostic/
Paper Submission Deadline: January 31, 2007
-------------------------------------------------------------------------
Date: Jan 9, 2007
From: Jorge Tavares <[EMAIL PROTECTED]>
Subject: Analysis of Genetic Representations and Operators
Call for Papers
Analysis of Genetic Representations and Operators (ARGO 2007)
http://agro2007.dei.uc.pt
A special session of the 2007 IEEE Congress on Evolutionary Computation
Singapore, September 25-28, 2007
http://www.cec2007.org/
Paper Submission Deadline: March 15, 2007
Camera-ready Deadline: June 15, 2007
-------------------------------------------------------------------------
Date: Jan 10, 2007
From: Jesus G. Boticario <[EMAIL PROTECTED]>
Subject: Towards User Modelling and Adaptive Systems for All
Call for Papers
Towards User Modelling and Adaptive Systems for All (TUMAS-A 2007)
http://adenu.ia.uned.es/workshops/um07/tumasa07/
In conjunction with User Modelling 2007 (UM '07)
Corfu, Greece, June 25-29, 2007
http://www.iit.demokritos.gr/um2007/
Submission Deadline: February 7, 2007
Camera-ready Deadline: May 1, 2007
Early Registration: March 19, 2007
-------------------------------------------------------------------------
Date: Jan 11, 2007
From: Allan Tucker <[EMAIL PROTECTED]>
Subject: Intelligent Data Analysis in BioMedicine And Pharmacology
Call for Papers
Intelligent Data Analysis in BioMedicine And Pharmacology (IDAMAP 2007)
Amsterdam, The Netherlands, July 8, 2007
http://idamap.org/idamap2007
Paper Submission Deadline: April 9, 2007
Camera-ready Deadline: June 8, 2007
-------------------------------------------------------------------------
Date: Jan 12, 2007
From: Jason Eisner <[EMAIL PROTECTED]>
Subject: Natural Language Conference/Empirical Methods and Learning
Call for Papers
EMNLP-CoNLL Joint Conference 2007
Conference on Empirical Methods in Natural Language Processing
Conference on Computational Natural Language Learning
Prague, Czech Republic, June 28-30, 2007
http://cs.jhu.edu/EMNLP-CoNLL-2007/CFP.html
Paper Submission Deadline: March 26, 2007
-------------------------------------------------------------------------
Date: Jan 14, 2007
From: Ronald Parr <[EMAIL PROTECTED]>
Subject: Uncertainty in Artificial Intelligence
Call for Papers
23rd Conference on Uncertainty in Artificial Intelligence
Vancouver BC, Canada, July 19-22, 2007
http://www.cs.duke.edu/uai07/
Abstract Submission Deadline: February 28, 2007 noon EST
Full Paper Submission Deadline: March 2, 2007, noon EST
Camera-ready Deadline: May 27, 2007, noon EDT
-------------------------------------------------------------------------
Date: Jan 17, 2007
From: Ardissono Liliana <[EMAIL PROTECTED]>
Subject: Personalizing Real and Virtual Explorations of Cultural Heritage
Call For Papers
User Modeling and User-Adapted Interaction:
The Journal of Personalization Research
(An international journal published by Springer Verlag)
Special issue on
Personalizing Real and Virtual Explorations of Cultural Heritage
http://www.umuai.org/
Paper Submission Deadline: May 1, 2007
Guest editors
Liliana Ardissono <[EMAIL PROTECTED]>
Daniela Petrelli <[EMAIL PROTECTED]>
-------------------------------------------------------------------------
Date: Thu, 25 Jan 2007 15:02:56 -0800
From: Daniel Shapiro <[EMAIL PROTECTED]>
Subject: What Went Wrong and Why
Call for Anecdotes
AI Magazine Special Issue on What Went Wrong and Why:
Lessons from AI Research and Application
AI Magazine will soon publish a special issue on the topic of
learning from mistakes, dedicated to the proposition that insight
often begins with unexpected results, and arrives in the response to
apparent problems. We believe every person working in the field of
Artificial Intelligence has experienced this effect, so we are
collecting anecdotes for publication.
Authors should submit 400 word descriptions of personal experiences
that link problems to insights/lessons learned. Problems can include,
but are not limited to: unusual observations, odd algorithm behavior,
technology/application mismatch, risk to people, products, projects,
or corporations, and physical systems failure. The lessons learned may
be technical, methodological, commercial, or organizational in nature,
and more. The ideal contribution will be crisp (possibly in the form
of an "A-ha!" moment), of general interest, and related to some aspect
of AI. Humor is a plus. Selected anecdotes will be published as
sidebars in the special issue.
Please send contributions to Dan Shapiro (dgs at stanford.edu) or
Mehmet Goker (mehmet.goker at us.pwc.com) by March 1, 2007 in text,
postscript, pdf, or MSWord format.
-------------------------------------------------------------------------
Date: Dec 19, 2006
From: James A. Bednar <[EMAIL PROTECTED]>
Subject: PhDs in Neuroinformatics/Computational Neuroscience in UK
4 YEAR PhD in Neuroinformatics and Computational Neuroscience at
the University of Edinburgh
We invite applications for the EPSRC/MRC funded PhD programme in
Neuroinformatics/Computational Neuroscience at the University of
Edinburgh, UK.
This is a 4 year programme with a strongly interdisciplinary character
and is ideal for students who want to apply their computational and
analytical skills to problems in neuroscience and related fields. The
first year consists of courses in neuroscience and informatics, as well
as projects based in experimental labs. The first year is followed by
a 3 year PhD project. The PhD project is commonly done in collaboration
with one of the many departments and institutes affiliated with the DTC.
The DTC programme is made up of three themes:
1) Computational and Cognitive Neuroscience.
Computational, mathematical, and experimental studies of information
processing in the nervous system.
2) Neuromorphic Engineering and Robotics.
Artificial sensor perception, neuromorphic modelling, spiking
computation, and neurorobotics.
3) Data Analysis and Systems.
Imaging data analysis and machine learning, Bayesian methods,
and building neurally inspired software.
Edinburgh has a strong research community in these areas and leads
the UK in creating a coherent programme in neuroinformatics.
Edinburgh has been voted as 'best place to live in Britain',
and has many exciting cultural and student activities.
Students with a strong background in computer science, mathematics,
physics, or engineering are particularly welcome to apply. Motivated
students with other backgrounds will also be considered.
About 8 full studentships are available to UK students and a small
number of EU students. The stipend is about 12,000 GB pounds per
annum. Applicants from outside the EU will need to provide their
own funding and evidence thereof.
Full info and application forms can be obtained from:
http://www.anc.ed.ac.uk/neuroinformatics/
Applications received by March 30th, 2007 will receive priority
treatment.
-------------------------------------------------------------------------
Date: 18 Jan 2007
From: Cambridge University Press <[EMAIL PROTECTED]>
Subject: Two Books on Data Mining
AN AUTHORITATIVE GUIDE TO STATE-OF-THE-ART
TECHNIQUES IN TEXT MINING AND LINK DETECTION
The Text Mining Handbook
Advanced Approaches in Analyzing Unstructured Data
Ronen Feldman, ClearForest Corp, Waltham, MA and Bar-Ilan
University, Israel
James Sanger, ABS Ventures, Boston, MA
ISBN-13: 9780521836579
http://scientific-direct.net/c.asp?id=644144&c=46a376cc4f402c6d&l=1
THE ESSENTIAL NEW INTRODUCTION TO CLUSTERING
Introduction to Clustering Large and High-Dimensional Data
Jacob Kogan, University of Maryland, Baltimore
ISBN-13: 9780521617932
http://scientific-direct.net/c.asp?id=644144&c=46a376cc4f402c6d&l=2
-------------------------------------------------------------------------
Date: Dec 18, 2006
From: Menno van Zaanen <[EMAIL PROTECTED]>
Subject: ABL 1.0 Alignment-Based Learning
Software release:
ABL 1.0 Alignment-Based Learning
Alignment-Based Learning (ABL) is a symbolic grammar inference
framework that has successfully been applied for several unsupervised
machine learning tasks in Natural Language Processing (NLP). Given
sequences of symbols only, a system that implements ABL induces
structure by aligning and comparing the input sequences. As a result,
the input sequences are augmented with the induced structure.
More information on the underlying ABL system and its implementation
can be found in the following publications:
* "Bootstrapping Structure into Language: Alignment-Based Learning",
Menno van Zaanen, 2001,
PhD Thesis, School of Computing, University of Leeds, UK.
http://www.ics.mq.edu.au/~menno/personal_files/docs/t_leeds.ps.gz
http://www.ics.mq.edu.au/~menno/personal_files/docs/t_leeds.pdf
* "Implementing Alignment-Based Learning",
Menno van Zaanen, 2002,
In: Proceedings of the International Colloquium on Grammatical
Inference (ICGI), pp 312-314, Amsterdam, the Netherlands.
http://springerlink.metapress.com/openurl.asp?genre=article&;
issn=0302-9743&volume=2484&spage=312
* "String alignment in grammatical inference: what suffix trees can do",
Jeroen Geertzen, 2003,
Technical report ILK-0311, Tilburg University, The Netherlands.
http://ilk.uvt.nl/downloads/pub/papers/ilk0311.pdf
The package contains a C++ implementation of ABL and a reference guide
(in texinfo) and the text of the license. The package should be easy
to install on Linux/UNIX systems using configure.
The latest version of this
package can be found on:
http://www.ics.mq.edu.au/~menno/research/software/abl/
For questions, remarks, bugs, improvements, or other matters related
to this package, send email to Menno van Zaanen <[EMAIL PROTECTED]>.
------------------------
End of ML-LIST Digest Vol 19, No. 1
