- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- Machine Learning and Natural Language Processing Lab - Freiburg (Germany) - Research on Data Mining, Machine Learning,Inductive Logic Programming, Relational Learning, Machine Learning for Bioinformatics.
- 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
- 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 Tuto
- Learning Lab at CMU, School of Computer Science - Software systems that learn user preferences, Robot learning, text learning, generic learning methods.
- Machine Learning Research Group - UW-Madison - Research on information retrieval and extraction, bioinformatics, connectionist models, hybrid systems.
- 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.
- 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.
- 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.
- Gatsby Computational Neuroscience Unit - University College London - Research on neural computational theories of perception and action, with an emphasis on learning.
- The Auton Project - Research on Data Mining, Active Learning & Exploration, Reinforcement Learning for Decision and Control.
- 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.
- Machine Learning Laboratory - UMass - Research on Neural Networks and Decision Trees.
- 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.
- 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.
- Machine Learning Group - Stockholm University - Research on inductive logic programming for natural language processing and for knowledge discovery in databases.
- Computational Learning - Royal Holloway, University of London - Research on machine learning theory, kernel methods for text analysis, support vector machines, kernel theory.
- 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.
- Machine Learning at the Katholieke Universiteit Leuven - Research in Data mining, Inductive Logic Programming, Learning In Agents.
- 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.
- 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.
- The Machine Learning Systems Group at JPL - Applied research in data mining, knowledge discovery, pattern recognition, and automated classification and clustering.
- Automated Learning Group - NASA - Research projects on collective intelligence, surface modeling, autoclass, Bayesian search.
- 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.
- 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.
- 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).
- 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.
- 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)
- 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.
- 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.
- 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.
- 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.
- 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
- The NeuroCOLT Project - ESPRIT working group on Neural and Computational Learning Theory. Partners, projects, publications archive.
- 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
- 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.
- 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.
- Computational Intelligence Group - University of Bristol - Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory.
- 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.
- 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.
- AICML - Alberta Ingenuity Centre for Machine Learning - An internationally recognized node of machine learning researchers at the University of Alberta
- GSIC - a group of researchers interested in artificial intelligence, computer supported collaborative learning and grid computing
- Partially Observable Markov Decision Processes (POMDP) - Introduction by Hajime Fujita to POMDPs as a representation for multi-agent learning
- Columbia University Center for Computational Learning Systems (CCLS) - CCLS investigates machine learning and data mining and their application to natural language understanding, the World Wide Web, bioinformatics, systems security and other emerging areas.
- Institute for Process Control and Robotics - University of Karlsruhe (Germany) - Research on Machine Learning in Robotics, Factory Automation, and Assistance Systems.
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