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  Artificial Intelligence: Machine Learning: Research Groups

Research Groups (Subscribe)

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The NeuroCOLT Project

http://www.neurocolt.org/

ESPRIT working group on Neural and Computational Learning Theory. Partners, projects, publications archive.

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The Auton Project

http://www.autonlab.org/

Research on Data Mining, Active Learning and Exploration, Reinforcement Learning for Decision and Control.

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Soft Computing in Machine Learning

http://www.fmt.vein.hu/softcomp

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.

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Robot Learning Laboratory - CMU

http://www.cs.cmu.edu/afs/cs.cmu.edu/Web/People/Xavier/lab.html

Research on Localization and Mapping, Partially Observable Markov Decision Processes, Computer Vision and Image Processing, Robot Architectures and Programming Languages, Learning Algorithms.

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Probabilistic and Statistical Inference - University of Toronto

http://www.psi.toronto.edu/

Research on computational machine learning tools and theoretical frameworks with applications in computational molecular biology, computer vision, sensory processing, and iterative decoding.

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Pattern Recognition and Image Processing (PRIP) Lab, Michigan State University

http://www.cse.msu.edu/rgroups/prip/

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.

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Machine Learning Research Group - UW-Madison

http://pages.cs.wisc.edu/~shavlik/uwml.html

Research on information retrieval and extraction, bioinformatics, connectionist models, hybrid systems.

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Machine Learning Research Group - UTCS

http://www.cs.utexas.edu/users/ml/

Research on General Inductive Learning, Inductive Logic Programming, Natural Language Learning, Qualitative Modeling and 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.

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Machine Learning Lab - The Hebrew University

http://www.cs.huji.ac.il/labs/learning/lab_page.html

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.

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Machine Learning Group - University of Waikato

http://www.cs.waikato.ac.nz/~ml

Offers WEKA, an open-source (GPL) machine learning and data mining toolkit in Java with classification, regression, clustering, and association rules. Command-line and GUI interfaces.

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Machine Learning Group - University of Bristol

http://www.cs.bris.ac.uk/Research/MachineLearning/

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.

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Machine Learning Group - Stockholm University

http://www.dsv.su.se/ML/

Research on inductive logic programming for natural language processing and for knowledge discovery in databases.

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Machine Learning at UC Santa Cruz

http://www.soe.ucsc.edu/programs/cs/graduate/research.html#ai

Research on decision theory, neural networks, computational biology, computational geometry, theoretical computer science, on-line learning algorithms, computational learning theory, reinforcement learning.

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Machine Learning at the Katholieke Universiteit Leuven

http://www.cs.kuleuven.be/~dtai/ml/

Research in Data mining, Inductive Logic Programming, Learning In Agents.

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Machine learning and Neural Networks group - Universities of Florence, Pisa, and Siena

http://www.dsi.unifi.it/neural

Research on adaptive processing of data structures, document analysis and technologies, natural language, machine learning for the web, visual databases, biochemistry and bioinformatics.

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Machine Learning and Inference Laboratory - GMU

http://www.mli.gmu.edu/

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.

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Machine Learning and Genetic Algorithms group - University of Turin

http://www.di.unito.it/~mluser/

Research on learning first-order classification rules, first-order concept descriptions, genetic algorithms, neural networks, computational learning theory.

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LISA - Adaptive Computer Systems Laboratory - Universit de Montral

http://www.iro.umontreal.ca/~lisa/

Research on modeling high-dimensional data, learning hyper-parameters, boosting of neural networks, Markovian models, data mining, and other areas related to neural networks.

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Learning Lab at CMU, School of Computer Science

http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo-5/www/learning.html

Software systems that learn user preferences, Robot learning, text learning, generic learning methods.

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Knowledge Acquisition and Machine Learning Group - University of Ottawa

http://www.csi.uottawa.ca/dept/kaml/KAML.html

Research projects mainly focused on text: Intelligent Information Access, Text Summarization, Text Analysis for Knowledge Acquisition.

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Knowledge Acquisition & Machine Learning Lab - University of Bari

http://lacam.di.uniba.it:8000/

Research on symbolic and numerical approaches to machine learning, first order logic, intelligent document processing, spatial data mining, human-computer interaction.

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Intelligent Systems, University College London

http://www.cs.ucl.ac.uk/intelligent_systems/

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.

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