Research Groups Machine Learning Artificial Intelligence

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.

• Gatsby Computational Neuroscience Unit - University College London - Research on neural computational theories of perception and artificial intelligence action, machine learning with an emphasis on learning.
• Machine learning and Neural Networks group - Universities of Florence, Pisa, and Siena - Research on adaptive processing of data structures, document machine learning analysis and technologies, natural language, machine learning for machine learning the web, visual databases, biochemistry and bioinformatics.
• Automated Learning Group - NASA - Research projects on collective intelligence, surface modeling, autoclass, machine learning Bayesian artificial intelligence search.
• Group Method of Data Handling (GMDH) - Tutorials, software, online books and articles on forecasting and systems modeling, optimization in expert systems, pattern recognition, data mining and knowledge discovery, from a research group at the Glushkov Institute of Cybernetics.
• Machine Learning Group - University of Bristol - Research on higher-order concept learning, inductive logic programming, multi-agent learning artificial intelligence systems, integration of prior knowledge, induction and deduction, incremental learning, artificial intelligence hybrid symbolic/connectionist approaches, evolutionary strategies.
• Computational Intelligence Group - University of Bristol - Research on kernel methods, support vector machines, neural machine learning networks, machine vision, bioinformatics, computational learning theory.
• Machine Learning Research Group - UW-Madison - Research on information retrieval and extraction, bioinformatics, connectionist research groups models, artificial intelligence hybrid systems.
• AICML - Alberta Ingenuity Centre for Machine Learning - An internationally recognized node of machine learning researchers artificial intelligence at machine learning the University of Alberta
• Columbia University Center for Computational Learning Systems (CCLS) - CCLS investigates machine learning and data mining and machine learning their machine learning application to natural language understanding, the World machine learning Wide Web, machine learning bioinformatics, systems security and other emerging machine learning areas.
• Cognitive Computation Group at UIUC - Developing theories and systems pertaining to intelligent behavior using a research groups unified methodology. At the heart of the approach is the research groups idea that learning has a central role in intelligence.
• Institute for Process Control and Robotics - University of Karlsruhe (Germany) - Research on Machine Learning in Robotics, Factory Automation, research groups and Assistance Systems.
• GSIC - A group of researchers interested in artificial intelligence, research groups computer research groups supported collaborative learning and grid computing.
• 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.
• Machine Learning and Inference Laboratory - GMU - Research on Theories of Learning, Inference, and Discovery Data artificial intelligence Mining and Knowledge Discovery, User Modeling and Intrusion Detection, Non-Darwinian artificial intelligence Evolutionary Computation, Machine Vision through Learning, Education.
• Probabilistic and Statistical Inference - University of Toronto - Research on computational machine learning tools and theoretical research groups frameworks research groups with applications in computational molecular biology, computer research groups vision, sensory research groups processing, and iterative decoding.
• 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 Group - University of Waikato - Offers WEKA, an open-source (GPL) machine learning and data mining research groups toolkit in Java with classification, regression, clustering, and association rules. research groups Command-line and GUI interfaces.
• Alberta Ingenuity Centre for Machine Learning (AICML) - Promotes curiosity-driven Machine Learning research, and leading edge machine learning scientific machine learning and commercial applications in the bioinformatics and machine learning interactive entertainment machine learning industries.
• Robot Learning Laboratory - CMU - Research on Localization and Mapping, Partially Observable Markov machine learning Decision Processes, Computer Vision and Image Processing, Robot machine learning Architectures and Programming Languages, Learning Algorithms.
• Computational Biology Group - University of Wales - Techniques include inductive logic programming, model based reasoning, machine learning evolutionary machine learning computing, neural networks, multivariate statistics. Applications to machine learning drig design, machine learning protein secondary structure prediction, functional genomics, machine learning etc.
• Knowledge Acquisition and Machine Learning Group - University of Ottawa - Research projects mainly focused on text: Intelligent Information artificial intelligence Access, research groups Text Summarization, Text Analysis for Knowledge Acquisition.
• Pattern Recognition and Image Processing (PRIP) Lab, Michigan State University - Develops algorithms and representations for efficient pattern matching. machine learning Applications include face recognition, fingerprint identification, image machine learning analysis, 3-D model construction and visualization, and robot machine learning navigation.
• Computational Learning - Royal Holloway, University of London - Research on machine learning theory, kernel methods for artificial intelligence text artificial intelligence analysis, support vector machines, kernel theory.
• Computational Intelligence, Learning, & Discovery - Pursues research on algorithms and software tools for gleaning knowledge from data and their applications in Bioinformatics, Security Informatics, Medical Informatics, Geoinformatics, Chemical Informatics, Semantic Web, e-Government, e-Enterprises, e-Comm
• Freiburg Recognition of ON-line HANDwriting (Frog On Hand) - An on-line handwriting recognition engine based upon statistical dynamic time warping (SDTW) and support vector machines with a Gaussian DTW kernel (SVM-GDTW).
• IDIAP Machine Learning Group - Research on Support Vector Machines, Hidden Markov Models, fusion of machine learning generative and discriminative approaches, logical data analysis, large scale data machine learning analysis. Martigny, Switzerland.
• Bioinformatics and Learning Metrics group - Helsinki University of Technology - Analysis of functional genomics data, Construction of data-dependent artificial intelligence metrics for focusing data analysis on relevant or artificial intelligence important aspects of the data.
• Soft Computing in Machine Learning - Applications of soft computing (fuzzy systems, neural networks, machine learning and machine learning genetic algorithms) in machine learning. Manuscripts machine learning and MATLAB machine learning codes related to fuzzy clustering and machine learning classification, and visualization machine learning and analysis of high-dimensional data.
• Center for Automated Learning and Discovery - CMU - Large group with projects in robot learning, data mining for artificial intelligence manufacturing and in multimedia databases, causal inference, and disclosure artificial intelligence limitation.
• Intelligent Systems, University College London - 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.
• Machine Learning Research Group - UTCS - 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 Tu
• Machine Learning Lab - The Hebrew University - Research projects on learning in human-machine interaction, natural machine learning language artificial intelligence interface to the WWW, statistical analysis of machine learning neurophysiological data, artificial intelligence self-organization of proteins, nonlinear acoustic signal machine learning processing.
• Machine Learning Group - Stockholm University - Research on inductive logic programming for natural language processing and machine learning for knowledge discovery in databases.
• Machine Learning at the Katholieke Universiteit Leuven - Research in Data mining, Inductive Logic Programming, artificial intelligence Learning In Agents.
• Artificial Intelligence Research Laboratory - Iowa State University - Research related to machine learning includes neural networks, automata induction, artificial intelligence computational learning theory, data mining, knowledge discovery, bioinformatics.
• Machine Learning and Genetic Algorithms group - University of Turin - Research on learning first-order classification rules, first-order concept research groups descriptions, machine learning genetic algorithms, neural networks, computational learning theory.
• Learning Lab at CMU, School of Computer Science - Software systems that learn user preferences, Robot learning, artificial intelligence text research groups learning, generic learning methods.
• Machine Learning Laboratory - UMass - Research on Neural Networks and Decision Trees.
• The Auton Project - Research on Data Mining, Active Learning and Exploration, machine learning Reinforcement Learning for Decision and Control.
• Knowledge Acquisition & Machine Learning Lab - University of Bari - Research on symbolic and numerical approaches to machine machine learning learning, first order logic, intelligent document processing, spatial machine learning data mining, human-computer interaction.
• The NeuroCOLT Project - ESPRIT working group on Neural and Computational Learning machine learning Theory. machine learning Partners, projects, publications archive.
• Machine Learning at UC Santa Cruz - Research on decision theory, neural networks, computational biology, artificial intelligence computational machine learning geometry, theoretical computer science, on-line learning algorithms, artificial intelligence computational learning machine learning theory, reinforcement learning.

   MySQL - Cache Direct