New! Submit a site
whatUseek Collection Sites (submit a site ):
Give your site great
placement in this category in as little as two business days!
whatUseek Directory Site Listings:
AI Unit - University of Dortmund (Germany) - Research on representation and acquisition of knowledge in the subareas machine learning and text, knowledge discovery in databases, learning and cognitive science, and learning robots.
Artificial Intelligence Research Laboratory - Iowa State University - Neural Computing, hybrid systems, cognitive modelling, intelligent agents, distributed intelligence.
Automated Learning Group - NASA - Research projects on collective intelligence, surface modeling, autoclass, Bayesian search.
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 manifacturing and in multimedia databases, causal inference, disclosure limitation, World Wide Web.
Center for Biological and Computational Learning - MIT - Research on theory of learning, neuroscience, bioinformatics & functional genomics, information extraction in text & multimedia, object detection/recognition, man-machines interfaces, virtual financial markets.
Centre for Learning Systems and Applications (LSA) - University of Kaiserslautern (Germany) - Research on Machine Learning, Case-based Reasoning, Knowledge Acquisition
Cognitive Computation Group at UIUC - Developing theories and systems pertaining to intelligent behavior using a unified methodology. At the heart of the approach is the idea that learning has a central role in intelligence.
Cognitive Computation, Harvard University - The group develops theories and systems pertaining to intelligent behavior using a unified methodology. At the heart of the approach is the idea that learning has a central role in intelligence.
Complexity of Learning - Royal Halloway University of London - Resarch on machine learning theory, kernel methods for text analysis, support vector machines, kernel theory.
Computational Biology Group - University of Wales - 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.
Computational Intelligence Group - University of Bristol - Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory.
Gatsby Computational Neuroscience Unit - University College London - Research on neural computational theories of perception and action, with an emphasis on learning.
IDIAP machine Learning Group - Martigny (Switzerland) - Research on Support Vector Machines, Hidden Markov Models, fusion of generative and discriminative approaches, logical data analysis, large scale data analysis.
Institute for Process Control and Robotics - University of Karlsruhe (Germany) - Research on Machine Learning in Robotics, Factory Automation, and Assistance Systems.
Intelligent Data Analysis Group at GMD FIRST - The IDA group is concerned with learning systems for intelligent data analysis. In particular, we are developing tools for high-dimensional multivariate statistics based on methods originally developed in the field of statistics and, more recently, in the neural networks and machine learning community.
Knowledge Acquisition & Machine Learning Lab - University of Bari - Research on symbolic and numerical approaches to machine learning, first order logic, intelligent document processing, spatial data mining, human-computer interaction.
Knowledge Acquisition and Machine Learning Group - University of Ottawa - Research projects mainly focused on text: Intelligent Information Access, Text Summarization, Text Analysis for Knowledge Acquisition.
LISA - Adaptive Computer Systems Laboratory - Université de Montréal - Research on modeling high-dimensional data, learning hyper-parameters, boosting of neural networks, Markovian models, data mining, and other areas related to neural networks.
Learning Lab at CMU, School of Computer Science - Software systems that learn user preferences, Robot learning, text learning, generic learning methods.
|
