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

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 th
   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, mi
   http://www.ai.univie.ac.at/oefai/ml/

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
   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/

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

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/

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/

Machine Learning at the Katholieke Universiteit Leuven  
   Research in Data mining, Inductive Logic Programming, Learning In Agents.
   http://www.cs.kuleuven.ac.be/~ml/

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/

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

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

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, Learning, & Discovery  
   Pursues research on algorithms and software tools for gleaning knowledge from data and their applications in Bioinformatics, Security Informatics, Medical Informatics, Geoinformatics, Chemical Informatics, Semantic Web, e-Government, e-Enterprises, e-Comm
   http://www.cild.iastate.edu

Probabilistic and Statistical Inference - University of Toronto  
   Research on computational machine learning tools and theoretical frameworks with applications in computational molecular biology, computer vision, sensory processing, and iterative decoding.
   http://www.psi.utoronto.ca/

Soft Computing in Machine Learning  
   Applications of soft computing (fuzzy systems, neural networks, and genetic algorithms) in machine learning. Manuscripts and MATLAB codes related to fuzzy clustering and classification, and visualization and analysis of high-dimensional data.
   http://www.fmt.vein.hu/softcomp

Alberta Ingenuity Centre for Machine Learning (AICML)  
   Promotes curiosity-driven Machine Learning research, and leading edge scientific and commercial applications in the bioinformatics and interactive entertainment industries.
   http://www.aicml.cs.ualberta.ca/index.php

Computational Intelligence Group - University of Bristol  
   Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory.
   http://www.enm.bris.ac.uk/ai/