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.
The Machine Learning Systems Group at JPL
Applied research in data mining, knowledge discovery, pattern recognition, and automated classification and clustering.
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
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)
The NeuroCOLT Project
ESPRIT working group on Neural and Computational Learning Theory. Partners, projects, publications archive.
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.
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.
The Auton Project
Research on Data Mining, Active Learning & Exploration, Reinforcement Learning for Decision and Control.
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.
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