| Maximum Entropy Online Resources |
| Maximum Entropy Online Resources |
| http://omega.albany.edu:8008/maxent.html |
| Workshops, tutorials, papers and software related to maximum entropy. |
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| maxent, entropy, maximum, maxent95, information, university, munchen, planck, maxent04, models, meet ing, toolkit, modeling, albany, online, kashyap, resources, general, cambridge, report, alamos, carl os, general, abstracts, schedules, methods, module, software, hybrid, idiosyncratic, algebra, prince ton, ristad, package, available, tutorial, ratnaparkhi, dissertation, adwait, applications, natural, language, processing, carlos, rodriguez, modified, fitting, unfolding, spectra, neutron, photon |
| (SLD : albany.edu:8008) |
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| Neuroinformatics |
| The neuroinformatics site |
| http://www.neuroinf.org/ |
| A hub for the neuroinformatics community, with information on workshops and courses. Also hosts the comp-neuro mailing list. |
| The Neuroinformatics site. |
| neuroinformatics, neurobiology, informatics, workshops, courses, meetings,
Belgium, INCF, maillists , servers |
| neuroinformatics, information, belgium, contact, portal, courses, neuroinformatics, exchange, belgia n, meetings, information, organizers, neuroscience, neuroscientists, interested, reserved, rights, t hursday, submit, invited, updated, participants, archive, servers, credits, welcome, neuroinf, inter national, website, maillist, courses, navigation, cssmain, import, meetings, community, counted, tue sday, number, coordinating, international, workshops, access, facility, joined, operational |
| (SLD : neuroinf.org) |
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| Bibliographies on Neural Networks |
| Bibliographies on Neural Networks |
| http://liinwww.ira.uka.de/bibliography/Neural/index.html |
| Part of the collection of computer science bibliographies. |
| Bibliographies on Neural Networks, part of the Collection of Computer Science Bibliographies |
| bibliographies, computer science, bibtex, RSS |
| bibliography, neural, networks, systems, networks, neural, bibliographies, results, learning, networ k, processing, journal, parallel, algorithms, university, adaptive, connectionist, computation, tran sactions, pattern, recognition, christian, achilles, references, results, science, collection, autho r, invariances, brought, models, please, natural, processing, service, language, reinforcement, mixt ure, constructive, recurrent, experts, amsterdam, comments, reserved, direct, liinwwwa, publications , autonomous, literature, resonance, theory |
uka.de - rank der domain 386373 (22993 in DE)
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| Computers/Artificial_Intelligence/Neural_Networks |
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| Computers/Artificial_Intelligence/Neural_Networks |
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| Principal Curves Page |
| Principal Curves |
| http://www.iro.umontreal.ca/~kegl/research/pcurves/ |
| Introduction to principal curves, with summary of and links to publications, demo, and software. |
| principal curves |
| machine learning,unsupervised learning,principal curves,principal curve,curve fitting,feature extrac tion,data mining,PCA,principal component analysis,nonlinear PCA,nonlinear principal component analys is |
| support, frames, browser, principal, curves |
umontreal.ca - rank der domain 27384 (320 in CA)
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| Neural Network FAQ |
| Neural Network FAQ, part 1 of 7: Introduction |
| ftp://ftp.sas.com/pub/neural/FAQ.html |
| This FAQ from comp.ai.neural-nets contains the most commonly asked questions about neural networks, including some great introductory material. |
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| neural, neural, networks, networks, training, learning, kohonen, network, codebook, methods, should, regression, function, validation, information, vector, algorithm, learning, number, statistical, ve ctors, cluster, principal, values, fausett, subject, answers, posting, usually, cambridge, analysis, models, supervised, grossberg, clusters, algorithms, network, systems, target, computation, questio n, stopping, unsupervised, classification, statistical, trained, statistics, feedforward, results, u niversity, likelihood |
| (SLD : ww.ftp:) |
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| Evolutionary Design of Neural Architectures |
| Evolutionary Design of Neural Architectures |
| http://www.cs.iastate.edu/~gannadm/homepage.html |
| A repository maintained by the Artificial Intelligence Research Group led by Vasant Honavar in the D epartment of Computer Science at Iowa State University. |
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| iastate, neural, evolutionary, architectures, majordomo, design, message, subject, archived, obtaine d, sending, bibliography, literature, subscribe, unsubscribe, repository, honavar, mailing, accessed , thanks, homepage, visiting, currently, specific, balakris, interest, construction, please, suggest ions, honavar, balakrishnan, taxonomy, changes, additions, postscript, preliminary, unsubscribed, re search, intelligence, vasant, science, computer, department, artificial, maintained, design, evoluti onary, neural, architectures, resources, welcome |
iastate.edu - rank der domain 11456 (4230 in US)
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| Reinforcement Learning Repository |
| Reinforcement Learning Repository at University of Massachusetts, Amherst |
| http://www-anw.cs.umass.edu/rlr/ |
| A centralized resource for researchers of reinforcement learning. Maintained at University of Massac husetts, Amherst. |
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| massachusetts, amherst, university, reinforcement, learning, repository |
umass.edu - rank der domain 15739 (5887 in US)
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| Gaussian Processes |
| The Gaussian Processes Web Site |
| http://www.cs.toronto.edu/~carl/gp.html |
| A website keeping track of developments in Gaussian processes. Has links to online papers and their authors and software. |
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| gaussian, process, models, bayesian, processes, regression, abstract, learning, methods, neural, app roach, classification, function, editors, learning, systems, method, functions, processing, informat ion, advances, covariance, process, problem, kernel, algorithm, approximation, cambridge, problems, results, training, linear, latent, posterior, machine, inference, rasmussen, provide, techniques, pr ocesses, sparse, parametric, present, performance, priors, probabilistic, analysis, approximations, approximate, allows, williams |
toronto.edu - rank der domain 47308 (16844 in US)
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| Computers/Artificial_Intelligence/Neural_Networks |
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| Computers/Artificial_Intelligence/Neural_Networks |
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| Wikipedia: Neural Network |
| Neural network - Wikipedia, the free encyclopedia |
| http://en.wikipedia.org/wiki/Neural_network |
| Free encyclopedia article addressing the historical background, the learning paradigms and the diffe rent application areas. |
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| neural, network, networks, neural, neurons, artificial, models, processing, biological, networks, sy stems, learning, artificial, articles, intelligence, wikipedia, between, statements, because, neuros cience, unsourced, system, information, articles, function, dewdney, article, citations, through, th eory, recognition, biological, research, learning, computational, control, architecture, individual, behaviour, wikipedia, connections, understanding, references, complex, vector, modelling, training, natural, analysis, mechanisms, computational |
wikipedia.org - rank der domain 6 (5 in US)
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| Neural Network Centers Around the World |
| Peter GECZY's Neural Network Links |
| http://www.brain.riken.jp/labs/mns/geczy/Links-E.html |
| Collection of Neural Network resources sorted by topic. |
| Neural Network Resources page contains extensive information and numerous links to Software, Journal s, Books, Societies, Databases, Newsgroups, Archives, E-Lists, etc. Resources are well organized, th oroughly catalogued and presented in easy-to-access manner with user friendly graphical interface. |
| Software, Jourlans, Books, Databases, Lists, Archives, Societies, Newsgroups, Centers, Resources, Re search, Links, Projects, Brain Science Institute, BSI, Neurosciences Research Program, NRP, RIKEN, T heoretical Neurobiology, Experimental Neurobiology, Neurobiology, Neurology, brain, human brain, Res earch Institute, RI, Scientific Lectures, Seminars, Neural Networks, NN, scientists, researcher, Pet er Geczy, Computer Science, CS, Optimization, Statistics, Artificial Intelligence, AI, Model, neuron |
| network, neural |
riken.jp - rank der domain 65311 (2810 in JP)
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