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