网站简介:A world-wide organization collaboratively developing a computer-supported evolutionary-systemic philosophy, in the context of the transdisciplinary academic fields of systems science and cybernetics.
网站简介:An electronic scientific journal covering all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes.
网站简介:Java open source neural network framework which can be used to create and train common types of neural networks. Site contains full source code, documentation and project info.
网站简介:Publishes articles describing recent fundamental contributions in the field of neurocomputing. Authoring information and online submission system, content alert via email, ordering information and content downloads for subscribers.
网站简介:Belief networks and influence diagrams for data mining, decision analysis, diagnosis, prediction, creating software agents, real-time control, signal conditioning, sensor fusion, expert system building, statistical analysis, probabilistic modeling and risk management / portfolio analysis.
网站简介:A collaborative machine learning weblog by John Langford.
网站简介:Focused on helping you make great AI (artificial intelligence) for your games and simulations.
网站简介:Stochastic generative models for complex visual phenomena.
网站简介:Machine learning and medical data analysis, independent component analysis and information theory.ry.
网站简介:Open-source C++ Libraries for medically oriented imaging research. The US National Library of Medicine sponsors this work and the NIH is encouraging its researchers to use it. Site has active newsgroups, and daily build and testing updates.
网站简介:Research on modeling high-dimensional data, learning hyper-parameters, boosting of neural networks, Markovian models, data mining, and other areas related to neural networks.
网站简介: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.
网站简介:A collection of tools that implement decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, and boosting. Written in Java. [GPL]
网站简介:generalized Single-hidden Layer Feed forward Networks (SLFNs) and how to build them. Since work as universal approximators with adjustable hidden parameters, all parameters of ELMs can be analytically determined instead of being tuned. Written in Matlab. [GPL]
网站简介:University of Southern California. Decision making, situated agents, distributed agents.
网站简介:Information about the group, its people, technologies, publications, events, clients, projects, employment opportunities.
网站简介:Carnegie Mellon University. Interests include machine learning, approximation algorithms, on-line algorithms and planning systems. Online publications and talks.
网站简介:Online paper about path-finding, including the A* algorithm and a greedy algorithm. Implementation notes, precalculation, map representations, heuristics, applications.
网站简介:AI Dreams - A place to talk about artificial intelligence, technology, robotics, films, graphicss
网站简介:Bayesian theory and inference, error-correcting codes, machine learning.
网站简介:Collaborative organization for open source projects related to natural language processing. Lists ongoing projects and documents proposed standard Java and XML APIs.
网站简介:Theory and methodology of neural networks medical applications industrial applications neural network simulation tools and connectionism and cognitive modeling.
网站简介:Research on Data Mining, Active Learning and Exploration, Reinforcement Learning for Decision and Control.
网站简介:Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.
网站简介:Developer of software systems that solve resource optimization, planning, scheduling, and deployment problems for the air transportation, gaming, healthcare, hospitality, and security industries.