Machine Learning List: Vol. 15, No. 14 Tuesday, August 19, 2003
Contents Meeting Announcements Workshop on "Collaboration Agents: Autonomous Agents ..." Genetic and Evolutionary Computation COnference (GECCO-2004) IIS:IIPWM'04 - First Announcement Career Opportunities Bank One Job Opportunities 2004-2005 IBM Herman Goldstine Postdoctoral Fellowship Jobs at Fair Isaac Corporation Miscellaneous Announcements MLJ special issue on ML and Genomics New Book / Genetic Programming IV ... jmlr-announce: Special Issue on Inductive Logic Programming 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, do highlight the meeting Web site and the goals of the event but omit information such as the program committee and talk schedules. Also, only first calls for papers and change of deadline announcements will be included. The ML List moderator reserves the right to omit/edit submissions to meet these criteria. ---------------------------------------------------------------------- From: Undisclosed Sendor <[EMAIL PROTECTED]> Subject: Workshop on "Collaboration Agents: Autonomous Agents ..." Date: Fri, 1 Aug 2003 14:06:44 +0800 (CST) CALL FOR PAPERS Workshop on "Collaboration Agents: Autonomous Agents for Collaborative Environments" October 13, 2003, Halifax, Canada http://www.cs.unb.ca/~ghorbani/ca/index.html In conjunction with 2003 IEEE/WIC International Conference on Web Intelligence / Intelligent Agent Technology http://www.comp.hkbu.edu.hk/WI03 http://www.comp.hkbu.edu.hk/IAT03 Autonomous agents have long been recognised as particularly promising tools for mundane tasks such as information seeking and distribution. Many researchers have recognised the power of multiple agents collaborating to achieve these and other tasks. However, in only a few cases, have agents been utilised to bring people together (or at least schedule them), and recent developments are producing architectures of agents that can go further, facilitating interactions as humans might. We believe that it is in the bringing together of people that agents can finally realise their potential. This workshop is intended to bring to the fore the state of the art of research and development of agents that bring people together, through, for example, scheduling, monitoring, or facilitating meetings, distributing information and building societies, and maintaining links between people whenever they can. The workshop will not focus on, for example, the development of interface of search agents - forums exist to bring this research to the fore. Our interest is in the building of a community of researchers in the area to allow the growth of a highly exciting field, one in which agents help people come together. Topics: Topics of interest include, but are not necessarily limited to: Collaborative and competitive behaviour of multiple agents Privacy and security in collaboration agents Conflicts, conflict resolution and negotiation Developed, developing, or planned architectures Technical and philosophical issues in the design of collaboration agents Important Dates: September 1, 2003 Deadline for submission of papers September 11, 2003 Notification of acceptance September 26, 2003 Final copy due October 13, 2003 Workshop Participation and Submissions: Participation in this workshop is by invitation only and invitees must be registered for the WI/IAI 2003 conferences. Also attendance is limited. Therefore, in case that a selection becomes necessary, we ask researchers that just want to attend the workshop without contributing a paper to send a short email to [EMAIL PROTECTED] expressing their particular interest in the workshop. Submitted papers should be formatted in the style of IEEE-Computer Society Format: http://www.computer.org/cspress/instruct.htm The page limit for the final version is 12 pages. We only accept electronic submissions. Please send your manuscripts (PDF format only) to the program chairs: After workshop activities: Besides online and conventional proceedings a special issue of a journal will be prepared for the resubmitted papers from this workshop. For further details, see http://www.cs.unb.ca/~ghorbani/ca/index.html ------------------------------ From: "John Koza" <[EMAIL PROTECTED]> Subject: Genetic and Evolutionary Computation COnference (GECCO-2004) Date: Sat, 2 Aug 2003 12:19:35 -0700 CALL FOR PAPERS 2004 Genetic and Evolutionary Computation COnference (GECCO-2004) June 26-30, 2004 (Saturday-Wednesday) Seattle, Washington, USA Paper Submission Deadline: January 15, 2004 A recombination of the 13th International Conference on Genetic Algorithms (ICGA) and the 9th Genetic Programming Conference (GP) http://www.isgec.org/gecco-2004/ The Genetic and Evolutionary Computation Conference (GECCO-2004) will present the latest high-quality results in the growing field of genetic and evolutionary computation. Topics include: genetic algorithms (GA); genetic programming (GP); evolution strategies (ES); evolutionary programming (EP); learning classifier systems (LCS); evolvable hardware (EH); real-world applications (RWA); artificial life, adaptive behavior, agents, and ant colony optimization (AAAA); biological applications (BIO); evolutionary robotics (ER); evolutionary scheduling and routing (ESR); search based software engineering (SBSE); Co-evolution (COEV); Artificial Immune Systems (AIS), and other areas to be announced. ONE CONFERENCE - MANY MINI-CONFERENCES Each paper submitted to GECCO will be rigorously reviewed, in a blind review process, by one of at least thirteen separate and independent program committees specializing in various aspects of genetic and evolutionary computation. These committees make their own final decisions on submitted papers for their areas, subject only to conference-wide space limitations and procedures. Keywords will be used to help match referees to papers. FREE TUTORIALS The conference will include over 30 free tutorials from some of the world's foremost experts in several topics of interest to genetic and evolutionary computation researchers and practitioners. WORKSHOPS Several workshops on a variety of EC-related topics will be held during GECCO-2004. See http://www.isgec.org/gecco-2004/ for the latest list of topics and scheduling information. Suggest a workshop by contacting Stefano Cagnoni: [EMAIL PROTECTED] HOW TO SUBMIT A PAPER TO THE GECCO CONFERENCE The deadline for ARRIVAL of submissions is THURSDAY, JANUARY 15, 2004. See http://www.isgec.org/gecco-2004/ for details on paper and electronic submissions, including procedures and formatting details. The conference proceedings will be published in book form and on CD-ROM and distributed at the conference. The GECCO review process is "double blind," meaning that reviewers should not be able to infer the identities of the authors of the papers that they are reviewing (and, of course, that authors will not know the identities of their reviewers). Each paper MUST identify a category under which it will be reviewed. Possible categories include: Genetic Algorithms Genetic Programming Evolution Strategies and Evolutionary Programming Learning Classifier Systems Evolvable Hardware Real-World Applications Biological Applications Evolutionary Robotics Artificial Life, Adaptive Behavior, Agents and Ant Colony Optimization Evolutionary Scheduling and Routing Search Based Software Engineering Coevolution Artificial Immune Systems Other categories as may be subsequently added on the web site To help match referees to papers authors are additionally required to provide keywords describing the content of their paper. Review criteria will include significance of the work, novelty, clarity, writing quality, and sufficiency of information to permit replication (if applicable). The first-named author (or other corresponding author designated by the authors when submitting) will be notified of acceptance or rejection (in early March 2004). By submitting a paper, the author(s) agree that, if their paper is accepted, they will submit a final revised camera-ready version by the deadline for camera-ready papers (in late March, 2004), they will register at least one author by the deadline for camera-ready papers, and at least one author will attend and present the accepted paper at the conference. The material in papers must represent substantially new work that has not been previously published by conferences, journals, or edited books in the evolutionary computation field. GECCO permits a paper to be submitted that is substantially similar to a paper being submitted contemporaneously for review in another conference; however, if the submitted paper is accepted by the GECCO conference, the authors agree that substantially the same material will not be published by another conference in the evolutionary computation field. (Material may be later revised and submitted to a journal if permitted by the journal involved.) For further details, see http://www.isgec.org/gecco-2004/ ------------------------------ From: "IIPWM Conf. Office" <[EMAIL PROTECTED]> Subject: IIS:IIPWM'04 - First Announcement Date: Tue, 12 Aug 2003 15:24:01 +0200 FIRST ANNOUNCEMENT: INTELLIGENT INFORMATION SYSTEMS 2004 - IIS'04 New Trends in Intelligent Information Processing and Web Mining (IIPWM) Zakopane, Poland, May 17-20, 2004 Conference Web page: http://iipwm.ipipan.waw.pl The conference will have special tracks on: - Artificial Immune Systems - Search Engines - Computational Linguistics The Conference's focus will also be on the following topics: - new computing paradigms, including, but not restricted to biologically motivated methods, quantum computing, DNA computing, - advanced data analysis, - new machine learning paradigms, - reasoning technologies, - natural language processing, - novelty detection, - new optimization technologies, - applied data mining using statistical and non-standard approaches, - technologies for very large data bases, - uncertainty management. Publication: http://iipwm.ipipan.waw.pl/2004/publication.html Publication in the Springer Verlag Series on Advances in Soft Computing is envisaged. Important Dates: http://iipwm.ipipan.waw.pl/2004/dates.html 15th October, 2002 - papers' submission deadline 8th December, 2002 - acceptance/rejection decision due 22th December, 2003 - submission of camera-ready papers 17th May, 2003 - the Conference starts Paper Submission and Publication: http://iipwm.ipipan.waw.pl/2004/forauthors.html The working language of the conference is English. Only original, unpublished papers in the aforementioned fields are invited. Authors should submit an electronic version of full paper (up to eight pages; source, ps and possibly pdf files) to the conference office: [EMAIL PROTECTED] before October 15, 2003. The papers should be organized in accordance with common scientific structure (abstract, state of the art in the field, intention, used methodology, obtained results and references). Papers will be refereed by an international committee, and accepted on the basis of their scientific merit, novelty and relevance to the conference topics. After notification of acceptance, authors will be allowed to make a correction in accordance with the suggestions of the reviewers and submit final camera-ready papers. The conference proceedings will be published in the Springer-Verlag series Advances in Soft Computing=94. Accepted papers must be presented by author (s) personally to be published in the conference proceedings. The final papers are to be prepared using LaTeX. Please download the Springer's class and some more files needed to process your document. They are available in the file iipwm-styles.zip from the same place as the file you are currently reading. Example of use is contained in iipwm-example.zip. Contact: Conference Office: [EMAIL PROTECTED] Institute of Computer Science, Polish Academy of Sciences ul. Ordona 21 01-237 Warsaw, Poland phone: ++48 22 8362841 fax: ++48 22 8376564 For further details, see http://iipwm.ipipan.waw.pl ------------------------------ From: <[EMAIL PROTECTED]> Subject: Bank One Job Opportunities Date: Mon, 11 Aug 2003 10:44:22 -0400 All positions in Wilmington, DE. 1. Decision Tech Sr Analyst This is an senior analyst (AVP) level position which will directly support Acquisition Marketing by providing statistical modeling and analytical support. Specifically, this individual will be responsible for the development and implementation of statistical targeting models which are used by Acquisition Marketing to identify likely responders to both Bank One and its partners credit solicitations. Additionally, this individual will assist in the development of valid statistical test designs which will ensure the correct evaluation of a marketing program's effectiveness and the profiling and modeling of the program's responders. Statistical modeling will include the development of logistic response models and cluster analyses. Any candidate for this position must have a very strong statistical background, thorough knowledge of relational databases, excellent skills in SAS and SQL in a server environment and very clear communication skills. Knowledge of direct marketing techniques and the FUSA Prospect database is highly desirable. Additionally, this position will have management responsibilities. Job Requirements: 3 yrs industry experience in statistics and modeling. advanced degree in Stat, or Econ. Statisitical target modeling, experimental test designs, data analysis, Excellent skills in SAS and SQL in a server environment, very clear verbal communication skills, and presentation skills. Knowledge of direct marketing and data mining techniques is required. 2. Decision Tech Analyst Position Description: This is a statistical analyst/modeling position with Bank One, directly supporting customer marketing and retention. Specifically, this individual will be responsible for the development and implementation of statistical targeting models. Additionally, this individual will assist in the development of valid statistical test designs which will ensure the correct evaluation of a marketing program's effectiveness and the profiling and modeling of the program's responders. Major business functions performed by this position include: process modeling; forecasting; data analysis; internal consulting; vendor evaluation; proposal development; customer behavior; experimental design; cost/benefit analysis; and operations research. Job Requirements: MS in a technical field, preferably Statistics (will consider Engineering, Math, Econometrics or Operations Research), PH.D is preferred. Must have MS and a minimum of 2 years of experience OR a Ph.D. Knowledge of statistical software packages (SAS, SQL, SPSS). Good programming (e.g., C/C++) and Unix scripting skills are desired, as is experience with statistical packages (e.g., SAS, S-plus). Knowledge and experience developing pattern recognition and modeling techniques (regression, neural networks, decision trees, evolutionary algorithms, etc.) or data mining experience with large, transactional data sets (financial services, insurance, telecommunications, or related industries) preferred. Evidence of leadership, initiative, productivity and teamwork preferred. Excellent oral and written communications and interpersonal skills required. ------------------------------ From: John Langford <[EMAIL PROTECTED]> Subject: 2004-2005 IBM Herman Goldstine Postdoctoral Fellowship Date: Wed, 13 Aug 2003 12:41:31 -0400 I (John Langford) personally recommend this. There is no better combination of freedom to do research and access to real problems. The Mathematical Sciences Department of the IBM Thomas J. Watson Research Center invites applications for its 2004-2005 Herman Goldstine Postdoctoral Fellowship for research in mathematical and computer sciences. Areas of active research in the department include: algorithms; coding theory; cryptography; data mining; dynamical systems and differential equations; economics; high-performance computation; numerical analysis; optimization; probability theory; statistics; and supply-chain and operations management. Fellows interact closely with department members but are free pursue their own research. Candidates must have a Ph.D. after September 1999 or should receive one before the second half of 2004. One fellowship will be awarded with stipend between $87,000 and $107,000 (depending on area and experience). Applications must be received before December 20, 2003. Complete details and the application procedure are available at http://www.research.ibm.com/math/goldstine.html. IBM is proud to be an equal-opportunity employer committed to work-place diversity. ------------------------------ From: "Sirosh, Joseph" <[EMAIL PROTECTED]> Subject: Jobs at Fair Isaac Corporation Date: Fri, 15 Aug 2003 17:27:15 -0700 Fair Isaac Corporation (NYSE: FIC) has several open positions for senior analytic scientists with strong backgrounds in data mining, KDD and machine learning. We are actively recruiting for high calibre scientists both at the senior and entry levels. Job Responsibilities: While they vary by position, job responsibilities typically involve developing advanced analytical applications based on large customer data sets and R&D into innovative customer solutions using statistical modeling, machine learning, and AI techniques. We tackle diverse problems such as credit risk assessment, fraud detection, text and unstructured data analysis, optimization and decision analytics for enterprise decision management. Minimum Qualifications: PhD (or MS with industry experience) in statistics, operations research, applied math, engineering, or computer science. Demonstrated skill with statistical packages, scripting languages, databases and computer languages. Experience in building cutting edge data mining solutions. Experience in developing innovative data mining algorithms with large data sets. The following tools are relevant: SAS, SPSS, Tcl, Perl, Python, SQL, MySQL, C, C++, Java. Contact: Dawn Ridz at [EMAIL PROTECTED] Fair Isaac to Interview at KDD Conference Fair Isaac Corporation is also excited to announce that we will be holding interviews during the 2003 KDD Conference, August 24-27th. In addition to the several open positions for Senior Analytic Scientists, we have an active College Recruitment Program to recruit talented MS/PhD level talent to our San Diego, Irvine, and San Rafael, CA offices. To be considered for an interview, please submit your resume to HR Lead/Recruiter, Dawn Ridz at [EMAIL PROTECTED] or fax to 858-202-2056. Dawn will join our Scientific Team at the KDD Conference in order to conduct interviews. For complete position listings, please visit our website at www.fairisaac.com Brief Corporate Overview: Fair Isaac Corporation (NYSE:FIC) is the preeminent provider of creative analytics that unlock value for people, businesses and industries. The company's predictive modeling, decision analysis, intelligence management, decision management systems and consulting services power more than 25 billion mission-critical customer decisions a year. Founded in 1956, Fair Isaac helps thousands of companies in over 60 countries acquire customers more efficiently, increase customer value, reduce fraud and credit losses, lower operating expenses and enter new markets more profitably. As of August 2002, HNC Software Inc., a leading provider of high-end analytic and decision management software, is part of Fair Isaac. ------------------------------ From: Robert Holte <[EMAIL PROTECTED]> Subject: MLJ special issue on ML and Genomics Date: Sat, 2 Aug 2003 12:59:01 -0600 (MDT) Machine Learning (MLJ) is pleased to announce publication of a special issue on "Machine Learning in the Genomics Era". This is freely available via the journal homepage http://www.kluweronline.com/issn/0885-6125 Click on "Journal Contents" in the menu in the left sidebar and then, in the right-hand column under 2003 (volume 52), select Issue 1-2, July - August 2003 The papers in this special issue are listed below. Also freely available are all forthcoming papers (over 20 at present). Click on "Forthcoming Papers" in the menu in the left sidebar. Special Issue: Machine Learning in the Genomics Era Editorial: Methods in Functional Genomics Paola Sebastiani, Isaac S. Kohane, Marco F. Ramoni Relation Between Permutation-Test P Values and Classifier Error Estimates Tailen Hsing, Sanju Attoor, Edward Dougherty Boosting and Microarray Data Philip M. Long, Vinsensius Berlian Vega Analysis and Visualization of Gene Expression Microarray Data in Human Cancer Using Self-Organizing Maps Sampsa Hautaniemi, Olli Yli-Harja, Jaakko Astola, Paivikki Kauraniemi, Anne Kallioniemi, Maija Wolf, Jimmy Ruiz, Spyro Mousses, Olli-P. Kallioniemi Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling Byoung-Tak Zhang , Jinsan Yang, Sung Wook Chi Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data Stefano Monti, Pablo Tamayo, Jill Mesirov, Todd Golub Inclusion of Textual Documentation in the Analysis of Multidimensional Data Sets: Application to Gene Expression Data Soumya Raychaudhuri, Hinrich SchüRuss B. Altman On Learning Gene Regulatory Networks Under the Boolean Network Model Harri Lahdesmaki, Ilya Shmulevich, Olli Yli-Harja External Control in Markovian Genetic Regulatory Networks Aniruddha Datta, Ashish Choudhary, Michael L. Bittner, Edward R. Dougherty ------------------------------ From: "John Koza" <[EMAIL PROTECTED]> Subject: New Book / Genetic Programming IV ... Date: Sat, 2 Aug 2003 12:20:51 -0700 NEW BOOK Genetic Programming IV: Routine Human-Competitive Machine Intelligence (ISBN 1-4020-7446-8) Published by Kluwer Academic Publishers (http://www.wkap.nl/) Genetic programming (GP) is method for automatically creating computer programs. It starts from a high-level statement of what needs to be done and uses the Darwinian principle of natural selection to breed a population of improving programs over many generations. This new book makes 4 main points: · GP now delivers routine human-competitive machine intelligence. · GP is an automated invention machine. · GP can create general solutions to problems in the form of parameterized topologies. · GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law. The book describes 15 instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century inventions, 6 instances where it has done the same with respect to post-2000 patented inventions, 2 instances where GP has created patentable new inventions, and 13 other human-competitive results. The book presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. A 42-minute video overview is contained in a DVD that comes with the book. To read chapter 1 in PDF format, visit http://www.genetic-programming.org/gpbook4toc.html Additional information (including table of contents) is available at http://www.genetic-programming.org/gpbook4toc.html There is a 25% discount coupon in PDF format (expiring September 30, 2003) at http://www.genetic-programming.org/gp4discount25sept30.pdf. ORDERING THE BOOK The book can be purchased using a 25% discount coupon in PDF format (expiring September 30, 2003) at http://www.genetic-programming.org/gp4discount25sept30.pdf. The book (ISBN 1-4020-7446-8) can be ordered from Kluwer Academic Publishers P.O. Box 358 - Accord Station Hingham, MA 02018-0358 USA Phone : (781) 871-6600 Toll-Free Phone: (866) 269-9527 Fax : (781) 681-9045 E-mail : [EMAIL PROTECTED] URL: http://www.wkap.nl/ ------------------------------ From: "David 'Pablo' Cohn" <[EMAIL PROTECTED]> Subject: jmlr-announce: Special Issue on Inductive Logic Programming Date: 18 Aug 2003 09:36:55 -0700 The Journal of Machine Learning Research (www.jmlr.org) is pleased to announce publication of the Special Issue on Inductive Logic Programming: Introduction to the Special Issue on Inductive Logic Programming James Cussens, Alan M. Frisch; pp. 413-414. ILP: A Short Look Back and a Longer Look Forward David Page, Ashwin Srinivasan; pp. 415-430. Relational Learning as Search in a Critical Region Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag; pp.431-463. Query Transformations for Improving the Efficiency of ILP Systems Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer; pp. 465-491. Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming Vincent Claveau, Pascale Sébillot, Cécile Fabre, Pierrette Bouillon; pp 493-525. The papers in this issue are available electronically at http://www.jmlr.org in PostScript and PDF formats. The papers of Volumes 1, 2 and 3 are also available electronically from the JMLR website, and in hardcopy from the MIT Press; please see http://mitpress.mit.edu/JMLR for details. ------------------------------ End of ML-LIST Digest Vol 15, No. 14 ************************************