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Machine Learning and Inference Laboratory - GMU
Research on Theories of Learning, Inference, and Discovery Data Mining and Knowledge Discovery, User Modeling and Intrusion Detection, Non-Darwinian Evolutionary Computation, Machine Vision through Learning, Education.
http://www.mli.gmu.edu/
Machine Learning Group - UCI
Research at UCI spans the spectrum of models for learning, including those based on statistics, logic, mathematics, neural structures, information theory, and heuristic search algorithms.
http://www.ics.uci.edu/AI/ML/Machine-Learning.html
Machine Learning Group - University of Waikato
Offers WEKA, a comprehensive, open-source (GPL) machine learning and data mining toolkit in Java with classification, regression, clustering, and association rules. Command-line and GUI interfaces.
http://www.cs.waikato.ac.nz/~ml
Artificial Intelligence Research Laboratory - Iowa State University
Resarch related to machine learning includes neural networks, automata induction, computational learning theory, data mining, knowledge discovery, bioinformatics.
http://www.cs.iastate.edu./~honavar/aigroup.html
Computational Learning - Royal Holloway, University of London
Research on machine learning theory, kernel methods for text analysis, support vector machines, kernel theory.
http://www.cs.rhbnc.ac.uk/colt/
Center for Automated Learning and Discovery - CMU
Large group with projects in robot learning, data mining for manufacturing and in multimedia databases, causal inference, and disclosure limitation.
http://www.cs.cmu.edu/~cald/
Center for Biological and Computational Learning - MIT
Research on theory of learning, neuroscience, bioinformatics & functional genomics, information extraction in text & multimedia, object detection/recognition, man-machines interfaces, virtual financial markets.
http://www.ai.mit.edu/projects/cbcl/
Machine Learning Group - University of Bristol
Research on higher-order concept learning, inductive logic programming, multi-agent learning systems, integration of prior knowledge, induction and deduction, incremental learning, hybrid symbolic/connectionist approaches, evolutionary strategies.
http://www.cs.bris.ac.uk/Research/MachineLearning/
Knowledge Acquisition and Machine Learning Group - University of Ottawa
Research projects mainly focused on text: Intelligent Information Access, Text Summarization, Text Analysis for Knowledge Acquisition.
http://www.csi.uottawa.ca/dept/kaml/KAML.html
The Machine Learning Systems Group at JPL
Applied research in data mining, knowledge discovery, pattern recognition, and automated classification and clustering.
http://www-aig.jpl.nasa.gov/public/mls/
Automated Learning Group - NASA
Research projects on collective intelligence, surface modeling, autoclass, Bayesian search.
http://ic-www.arc.nasa.gov/ic/projects/bayes-group/index.html
Computational Biology Group - University of Wales
Techniques include inductive logic programming, model based reasoning, evolutionary computing, neural networks, multivariate statistics. Applications to drig design, protein secondary structure prediction, functional genomics, etc.
http://www.aber.ac.uk/~dcswww/Research/bio/
Bioinformatics and Learning Metrics group - Helsinki University of Technology
Analysis of functional genomics data, Construction of data-dependent metrics for focusing data analysis on relevant or important aspects of the data.
http://www.cis.hut.fi/projects/mi/
Machine Learning Research Group of Rutgers University
Research interest in online algorithms, sequence categorization, action prediction, genetic algorithms, and feature generation/selection.
http://www.cs.rutgers.edu/learning/
Machine Learning at the Katholieke Universiteit Leuven
Research in Data mining, Inductive Logic Programming, Learning In Agents.
http://www.cs.kuleuven.ac.be/~ml/
Cognitive Computation, Harvard University
The group develops theories and systems pertaining to intelligent behavior using a unified methodology. At the heart of the approach is the idea that learning has a central role in intelligence.
http://www.deas.harvard.edu/users/students/Roni_Khardon/cogcomp.html
Intelligent Data Analysis Group at GMD FIRST
The IDA group is concerned with learning systems for intelligent data analysis. In particular, we are developing tools for high-dimensional multivariate statistics based on methods originally developed in the field of statistics and, more recently, in the neural networks and machine learning community.
http://ida.first.gmd.de
Cognitive Computation Group at UIUC
Developing theories and systems pertaining to intelligent behavior using a unified methodology. At the heart of the approach is the idea that learning has a central role in intelligence.
http://l2r.cs.uiuc.edu/~cogcomp/
Machine learning and Neural Networks group - Universities of Florence, Pisa, and Siena
Research on adaptive processing of data structures, document analysis and technologies, natural language, machine learning for the web, visual databases, biochemistry and bioinformatics.
http://www.dsi.unifi.it/neural
Machine Learning and Natural Language Processing Lab - Freiburg (Germany)
Research on Data Mining, Machine Learning,Inductive Logic Programming, Relational Learning, Machine Learning for Bioinformatics.
http://www.informatik.uni-freiburg.de/~ml/
Machine Learning - ÖFAI
Information on their members, research areas, publications, teaching, and resources. Focus is on: data mining and knowledge discovery in databases, inductive logic programming, knowledge intensive learning, concept drift and context-sensitive learning, minimum description length principle, machine learning and music.
http://www.ai.univie.ac.at/oefai/ml/
Group Method of Data Handling (GMDH)
Tutorials, software, online books and articles on forecasting and systems modeling, optimization in expert systems, pattern recognition, data mining and knowledge discovery, from a research group at the Glushkov Institute of Cybernetics.
http://www.gmdh.net/index.html
Freiburg Recognition of ON-line HANDwriting (Frog On Hand)
An on-line handwriting recognition engine based upon statistical dynamic time warping (SDTW) and support vector machines with a Gaussian DTW kernel (SVM-GDTW).
http://lmb.informatik.uni-freiburg.de/people/bahlmann/frog.en.html
NCSA Automated Learning Group (ALG)
Archive of software, white papers, and research surveys maintained by a research lab at the National Center for Supercomputing Applications (NCSA)
http://www.ncsa.uiuc.edu/STI/ALG/
Pattern Recognition and Image Processing (PRIP) Lab, Michigan State University
Develops algorithms and representations for efficient pattern matching. Applications include face recognition, fingerprint identification, image analysis, 3-D model construction and visualization, and robot navigation.
http://www.cse.msu.edu/rgroups/prip/
Intelligent Systems, University College London
Focuses on theory of logic and learning, and applied intelligent systems. Methodolgies range from traditional knowledge-based systems and neural networks to machine learning, agents, and evolutionary computation.
http://www.cs.ucl.ac.uk/intelligent_systems/
Software Competence Center, Hagenberg (SCCH): Division of Knowledge Based Technologies
Knowledge-based concepts, tools, and methods, and their applications, including: fuzzy systems, neural networks, genetic algorithms, machine learning, and natural language processing.
http://www.scch.at/kbt
Machine Learning at UC Santa Cruz
Research on decision theory, neural networks, computational biology, computational geometry, theoretical computer science, on-line learning algorithms, computational learning theory, reinforcement learning.
http://www.soe.ucsc.edu/programs/cs/graduate/research.html#ai
Modeling network routing as Partially Observable Markov Decision Processes (POMDPs)
Uses partially observable Markov decision processes (POMDPs) as a basic framework for multi-agent planning
http://dali.ai.uic.edu/bharanee/research.html
The NeuroCOLT Project
ESPRIT working group on Neural and Computational Learning Theory. Partners, projects, publications archive.
http://www.neurocolt.org/
Computational Intelligence Group - University of Bristol
Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory.
http://lara.enm.bris.ac.uk/cig/
Machine Learning Research Group - UTCS
Research on General Inductive Learning, Inductive Logic Programming, Natural Language Learning, Qualitative Modeling & Diagnosis, Learning for Planning and Problem Solving. Recommender Systems and Text Categorization Student Modeling for Intelligent Tutoring Systems Text Data Mining Theory and Knowledge Refinement.
http://www.cs.utexas.edu/users/ml/
Learning Lab at CMU, School of Computer Science
Software systems that learn user preferences, Robot learning, text learning, generic learning methods.
http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo-5/www/learning.html
Machine Learning Research Group - UW-Madison
Research on information retrieval and extraction, bioinformatics, connectionist models, hybrid systems.
http://www.cs.wisc.edu/~shavlik/uwml.html
Machine Learning and Genetic Algorithms group - University of Turin
Research on learning first-order classification rules, first-order concept descriptions, genetic algorithms, neural networks, computational learning theory.
http://www.di.unito.it/~mluser/
Institute for Process Control and Robotics - University of Karlsruhe (Germany)
Research on Machine Learning in Robotics, Factory Automation, and Assistance Systems.
http://wwwipr.ira.uka.de/areas/machinelearning.html
Machine Learning Lab - The Hebrew University
Research projects on learning in human-machine interaction, natural language interface to the WWW, statistical analysis of neurophysiological data, self-organization of proteins, nonlinear acoustic signal processing.
http://www.cs.huji.ac.il/labs/learning/lab_page.html
Centre for Learning Systems and Applications (LSA) - University of Kaiserslautern (Germany)
Research on Machine Learning, Case-based Reasoning, Knowledge Acquisition
http://wwwagr.informatik.uni-kl.de/~lsa/
IDIAP machine Learning Group - Martigny (Switzerland)
Research on Support Vector Machines, Hidden Markov Models, fusion of generative and discriminative approaches, logical data analysis, large scale data analysis.
http://www.idiap.ch/learning/learningNF.html
Gatsby Computational Neuroscience Unit - University College London
Research on neural computational theories of perception and action, with an emphasis on learning.
http://www.gatsby.ucl.ac.uk/
The Auton Project
Research on Data Mining, Active Learning & Exploration, Reinforcement Learning for Decision and Control.
http://www.autonlab.org/
LISA - Adaptive Computer Systems Laboratory - Université de Montréal
Research on modeling high-dimensional data, learning hyper-parameters, boosting of neural networks, Markovian models, data mining, and other areas related to neural networks.
http://www.iro.umontreal.ca/~lisa/
Machine Learning Laboratory - UMass
Research on Neural Networks and Decision Trees.
http://www.cs.umass.edu/~lrn/
Robot Learning Laboratory - CMU
Research on Localization and Mapping, Partially Observable Markov Decision Processes, Computer Vision and Image Processing, Robot Architectures and Programming Languages, Learning Algorithms.
http://www.cs.cmu.edu/afs/cs.cmu.edu/Web/People/Xavier/lab.html
Knowledge Acquisition & Machine Learning Lab - University of Bari
Research on symbolic and numerical approaches to machine learning, first order logic, intelligent document processing, spatial data mining, human-computer interaction.
http://lacam.di.uniba.it:8000
Machine Learning Group - Stockholm University
Research on inductive logic programming for natural language processing and for knowledge discovery in databases.
http://www.dsv.su.se/ML/
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