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Artificial Intelligence: Machine Learning: Research Groups: Page 4


 

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Modeling network routing as Partially Observable Markov Decision Processes (POMDPs)

http://dali.ai.uic.edu/bharanee/research.html

Uses partially observable Markov decision processes (POMDPs) as a basic framework for multi-agent planning

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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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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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Software Competence Center, Hagenberg (SCCH): Division of Knowledge Based Technologies

http://www.scch.at/kbt

Knowledge-based concepts, tools, and methods, and their applications, including: fuzzy systems, neural networks, genetic algorithms, machine learning, and natural language processing.

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The Auton Project

http://www.autonlab.org/

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

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The Machine Learning Systems Group at JPL

http://www-aig.jpl.nasa.gov/public/mls/

Applied research in data mining, knowledge discovery, pattern recognition, and automated classification and clustering.

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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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Category for: Artificial Intelligence: Machine Learning: Research Groups: Page 4