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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.
 
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 / data mining toolkit in Java. Classification, regression, clustering, association rules and more. Command-line and GUI interfaces.
 
Machine Learning Group - University of York - Research mainly devoted to inductive logic programming. Applications include drug design, protein shape prediction and satellite fault diagnosis.
 
Machine Learning Group, University of Sydney - Research on First-order learning (also known as inductive logic programming), Learning to predict values (also known as regression), Hybrid classification methods, Construction of new features that simplify theories, Learning theory, especially aspects of the Minimum Description Length principle.
 
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.
 
Machine Learning Research Group of Rutgers University - Research interest in online algorithms, sequence categorization, action prediction, genetic algorithms, and feature generation/selection.
 
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 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 at the Katholieke Universiteit Leuven - Research in Data mining, Inductive Logic Programming, Learning In Agents.
 
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.
 
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.
 
The Auton Project - Research on Data Mining, Active Learning & Exploration, Reinforcement Learning for Decision and Control.
 
 

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