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 Computers » Artificial Intelligence » Machine Learning » Research Groups


 Web Pages    31 - 40   of   41 Back to Research Groups Home 


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

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

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

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

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

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

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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.

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

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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.

http://www.aber.ac.uk/~dcswww/Research/bio/

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An internationally recognized node of machine learning researchers at the University of Alberta

http://www.uofaweb.ualberta.ca/aicml/

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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.

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

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An on-line handwriting recognition engine based upon statistical dynamic time warping (SDTW) and support vector machines with a Gaussian DTW kernel (SVM-GDTW).

http://lmb.informatik.uni-freiburg.de/people/bahlmann/frog.en.html

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Research on Machine Learning in Robotics, Factory Automation, and Assistance Systems.

http://wwwipr.ira.uka.de

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Analysis of functional genomics data, Construction of data-dependent metrics for focusing data analysis on relevant or important aspects of the data.

http://www.cis.hut.fi/projects/mi/

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