Welcome to the PDB, the single worldwide repository for the processing and distribution of 3-D biological macromolecular structure data.

National Space Science Data Center (NSSDC) Home Page ...

FIPA is an international non-profit association of companies promoting intelligent agents by developing specifications and supporting interoperability among agents and agent-based applications.

A page from the UMBC AgentWeb -- a collection of web pages on intelligent software agents, knowbots, FIPA, KQML, KIF, ontologies, active information integration and agent-oriented systems ...

Agentcities Agent Network Initiative ...

The A.L.I.C.E. AI Foundation preserves, protects and defends the A.L.I.C.E. and AIML free open source software.

Home page for the Software Agents group at the MIT Media Lab, headed by Henry Lieberman.

Welcome to the UCI Machine Learning Repository! This is a repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. Ftp Access to archive Summary page compressed tar file (35M) of the entire repository (current as of 3/21/96) is also available. For individual without ftp access, we ...

BUGS is a piece of computer software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. Software for several platforms is available for downloading, and all the manuals are also available online or in downloadable formats.

Sequence Alignment and Modeling System SAM-T99 HMM WWW Servers SAM 3.2 is available! The SAM documentation (the 150+ page, 1.5+ MB manual is also available in PDF and PS) discusses the changes from previous versions. If you are a college, university, U.S. government lab, or nonprofit, there is a free license to fill out and return by fax or hardcopy to UCSC. Otherwise, please request more ...

Weka 3 -- Machine Learning Software in Java Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka is also well-suited for developing new machine learning schemes. Weka is open source software issued ...

Recursive partitioning based supervised and unsupervised learning methods resources ...

Online resource for knowledge and information discovery from data. Links to Data Mining, Machine Learning, Knowledge Discovery in Databases, Statistics sites. It encompasses areas such as Statistics, Data Mining, Knowledge Discovery in Databases, Machine Learning, Bioinformatics, Marketing, and Social Sciences.

Gatsby Computational Neuroscience Unit Alexandra House, 17 Queen Square, LONDON, WC1N 3AR, UK Tel: +44 (0) 20 7679 1176, Fax +44 (0) 20 7679 1173, admin@gatsby.ucl.ac.uk, www.gatsby.ucl.ac.uk introduction people research annual report publications seminars travel vacancies the greater gatsby search internal ucl About the Gatsby Unit Staff and students Current research interests Annual report ...

StatLib---Datasets Archive If you have an interesting dataset, or collection of data from a book, please consider submitting the data. To submit a dataset, please see the submissions guidelines, via send submissions from general Some of the entries are shar archives. If you don't know how to deal with a shar archive, send the message send shar from general for instructions. The datasets archive ...

How computers can learn to get better at playing games.

Computational Learning Community ...

Machine Learning Research Group University of Texas at Austin Department of Computer Sciences , Artifical Intelligence Laboratory Positive Examples: Negative Examples: Machine learning is the study of adaptive computational systems that improve their performance with experience. The UT Machine Learning Research Group focuses on applying both empirical and knowledge-based learning techniques to ...

Pattern Recognition Information Here some information is collected on the pattern recogntion research area. Suggestions and contributions are welcomed. We can help you further with: Short description of the pattern recognition research area The main journals and their TOC's A list of books on pattern recognition or related areas A list of review papers Bibliographies on pattern recognition ...

The Penn Treebank Project The Penn Treebank Project annotates naturally-occuring text for linguistic structure. Most notably, we produce skeletal parses showing rough syntactic and semantic information -- a bank of linguistic trees. We also annotate text with part-of-speech tags, and for the Switchboard corpus of telephone conversations, dysfluency annotation. We are located in the LINC ...

Institute for Computer Science Home Events People Research Publications Teaching Job and Students Opportunities Tools and Data Miscellaneous Contact Welcome to the chair of Machine Learning and Natural Language Processing : Unser Angebot an Lehrveranstaltungen im Wintersemester 2002/2003 Daisy, Marie Curie doctoral fellowships Photos from the Workshop: Freiburg, Leuven and Friends 2002 Projects: ...

Meta-MEME is a software toolkit for building and using motif-based hidden Markov models of DNA and proteins. The input to Meta-MEME is a set of similar protein sequences, as well as a set of motif models discovered by MEME. Meta-MEME combines these models into a single, motif-based hidden Markov model and uses this model to produce a multiple alignment of the original set of sequences and to ...

To understand is to perceive patterns - Isaiah Berlin Go to Specific Links for 308-644 (Pattern Recognition course) General Links: Pattern Recognition: Introduction to Pattern Recognition Pattern Recognition Course on the Web (by Richard O. Duda) Introduction to Machine Learning (by Nils J. Nilsson) Image Processing Course Classification Society of North America The Pattern Recognition Files ...

Support vector machines ...

Research Home Computational Biology Members Publications Grants & projects Model-based Systems Members Publications Grants & projects Intelligent Robotics Members Publications Grants & projects Software Engineering Members Publications Grants & projects Centre for Advanced Software and Intelligent Systems Intranet (local users) Department Home Computational Biology Group and Wolfson ...

This page contains relevant information about, and for, the members of the Machine Learning Research Group (MLRG) at the University of Wisconsin - Madison. Table of Contents Group Members MLRG's Archive of Recent Papers MLRG's Archive of Datasets and Domain Theories CS 760 - Machine Learning (graduate course) Relevant Local Links Some Useful External Links Group Members (as of Summer 2002) Frank ...

The AutoClass Project Contents Introduction Contacts Current Work Future Work References (and gif files) AutoClass III -- An unsupervised Bayesian classification program in Lisp AutoClass X -- An experimental extension of AutoClass III in Lisp AutoClass C -- A public domain version of AutoClass III in C Bayesian Learning Group Introduction In previous years, the Bayes group at Ames Research ...

The Hebrew University - School of Computer Science and Engineering. The Machine Learning Lab Contents: The goals of this lab See also the Computational biology lab Who are we Selected publications Complete theses Journals, conferences, and other goodies... The lab's computers' list and usage policy People Faculty members: Nir Friedman Yoram Singer Eli Shamir Tali Tishby Yair Weiss (from Oct.

Data TREC home Test Collections English Introduction Documents Test Questions (Topics) Relevance Judgements Non-English Introduction Documents Test Questions (Topics) Relevance Judgements Web Test Collections Documents (documents not distributed by NIST, they are available from CSIRO) Topics Relevance Judgements Filtering Track Collection TREC 2001 Guidelines http://trec.nist.

Automatic Design of Algorithms Through Evolution (ADATE) is a system for automatic programming i.e., inductive inference of algorithms. ADATE is not based on genetic programming (GP) and would have been exactly the same even if GP never existed. The ADATE system can automatically generate non-trivial and novel algorithms. Algorithms are generated ...

ML | DTAI | Dept. of Computer Science | Faculty of Engineering | K.U.Leuven DTAI Machine Learning Group ENGLISH Machine learning (ML) is concerned with building agents that improve their performance on specific tasks by accumulating and processing experience. Within the field of artificial intelligence, machine learning occupies a central position as there can be no intelligence unless it is ...

Laboratoire d'Informatique des Syst mes Adaptatifs (LISA) Adaptive Computer Systems Laboratory Universite de Montreal Group Members Physical Information Publications Research Courses Benchmark Data Sets Seminars Related Sites Group Members Faculty Yoshua BENGIO (bengioy iro.umontreal.ca) Jan GECSEI (gecsei iro.umontreal.ca) Michel GENDREAU (gendreau iro.umontreal.ca) Balazs KEGL (kegl iro.

WinMine Toolkit Home Page What is the WinMine Toolit The WinMine Toolkit is a set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. The majority of the tools are command-line executables that can be run in scripts. Click here or on the icon to see an overview of the files that come with the toolkit. Download the WinMine Toolkit Simply click here or on the ...

The Knowledge Acquisition and Machine Learning Group at the University of Ottawa ...

NetBots 2.5 These are the droids you're looking for. NetBots is a Macintosh Internet utility that lets you send virtual agents out on the Internet. These agents can do things like monitor a web page for updates, let you know when a user is online, and much more. The bots can signal you with an alert or can execute any AppleScript. Download FAQ Documentation Feedback Register NetBots News ...

Learning methods for data exploration: Research group ...

IIIA - Institut d'Investigaci en Intel.lig ncia Artificial Published in A. Aamodt, E. Plaza (1994); AICom - Artificial Intelligence Communications, IOS Press, Vol. 7: 1, pp. 39-59. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches Agnar Aamodt University of Trondheim, College of Arts and Science, Department of Informatics, N-7055 Dragvoll, Norway. Phone: ...

The Machine Learning group at the Dipartimento di Informatica, Universita di Torino is part of a larger research group on Artificial Intelligence, and is active since 1984. In 1998, due to the birth of the Universita del Piemonte Orientale, part of the group joined the new University and started a fresh research group there.

An introduction to ``Anytime Algorithms''; ACM Crossroads 3-1 ...

This NIST database of fingerprint images contains 2000 8-bit gray scale fingerprint images pairs ...

Communication Systems Information Systems Technology Lincoln Laboratory Massachusetts Institute of Technology 244 Wood Street Lexington, MA 02420-9108 Phone (781) 981-5500 webmaster@ll.mit.edu Information Systems Technology Group LNKnet Pattern Classification Software LNKnet is a software package developed at MIT Lincoln Laboratory which integrates more than 20 neural network, statistical, and ...

Gowachin (traduction de Gowachin en francais ) Training time... Feel free to register, play and send your comments . News : The site is being completed with other known benchmarks for grammatical inference (see Other benchmarks). If you know other public data, particularly real world data , please let me know ! 30th july 2002 : Some submission scores have been lost. I think we have fix the ...

In case-based reasoning (CBR) systems expertise is embodied in a library of past cases, rather than being encoded in classical rules. Each case typically contains a description of the problem, plus a solution and/or the outcome. The knowledge and reasoning process used by an ...

CBR@IIIA Welcome to the Case-based Reasoning website of the IIIA This is the homepage for all work related to Case-based Reasoning (CBR) performed on the Institut d'Investigaci en Intellig ncia Artificial (IIIA). Introducing CBR Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches Published in A. Aamodt, E. Plaza (1994); AICom - Artificial Intelligence ...

Learning Relational Concepts from Sensor Data of a Mobile Robot Volker Klingspor, Katharina J. Morik, Anke D. Rieger We provide here a set of data sets, where each data set is represented in first order logic. Valid restrictions of all data sets are: facts can be linked using the argument of type TIME, and there are never two different facts concerning the same sensor and the same point in time.

Information on current research, courses, and publications of the Artificial Intelligence Research Laboratory at Iowa State University ...