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Group: ur-cls - with tag compsci [25 articles]

Neue Artikel von Mitliedern der Gruppe ur-cls Gruppe with tag compsci
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  • Unsupervised learning of natural languages.
    Proc Natl Acad Sci U S A, Vol. 102, No. 33. (16 August 2005), pp. 11629-11634.
    by Z Solan, D Horn, E Ruppin, S Edelman
  • An information-maximization approach to blind separation and blind deconvolution.
    Neural Comput, Vol. 7, No. 6. (November 1995), pp. 1129-1159.
    by AJ Bell, TJ Sejnowski
  • Admitting that admitting verb sense into corpus analyses makes sense
    Language and Cognitive Processes, Vol. 19, No. 2. (April 2004), pp. 181-224.
    by M Hare, K Mcrae, J Elman
    posted to cogsci compling compsci homophones nlp by aufrank to the group ur-cls on 2005-07-29 17:10:06 as read along with 2 people UWerplab preeder
  • Assessing the distinguishability of models and the informativeness of data.
    Cognit Psychol, Vol. 49, No. 1. (August 2004), pp. 47-84.
    by DJ Navarro, MA Pitt, IJ Myung
    posted to cogsci compsci connectionist modeling by aufrank to the group ur-cls on 2005-07-29 16:32:38 as read
  • A global geometric framework for nonlinear dimensionality reduction.
    Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323.
  • Levels of perceptual representation and process in lexical access: words, phonemes, and features.
    Psychol Rev, Vol. 101, No. 4. (October 1994), pp. 653-675.
    posted to compsci language spe_perception word_recognition by aufrank to the group ur-cls on 2005-07-27 22:02:11 as read along with 1 person ketangli
  • Bayesian Networks without Tears
    AI Magazine (Winter 1991)
    by Eugene Charniak
    posted to bayesian compsci ml modeling by aufrank to the group ur-cls on 2005-07-27 21:58:10 as read
  • A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
    (1997)
    by J Bilmes
  • Factor Graphs and the Sum-Product Algorithm
    IEEETIT: IEEE Transactions on Information Theory, Vol. 47 (2001)
    by Frank R Kschischang, Brendan J Frey, Hans-Andrea Loeliger
    posted to compsci ml by aufrank to the group ur-cls on 2005-07-27 21:40:12 as **** along with 2 people dedrop iris_2001
  • Cluster Analysis Tutorial
    (March 2002)
    by Nick Coleman
    posted to clustering compsci ml statistics by aufrank to the group ur-cls on 2005-07-27 21:37:08 as **
  • Monte Carlo Methods
    (April 2002)
    by Jonathan Pengelly
    posted to compsci mcmc ml by aufrank to the group ur-cls on 2005-07-27 19:43:34 as **
  • Kalman Filters
    (April 2002)
    by Bradley Thompson, Christopher Stone
    posted to cogsci compsci kalman_filters ml normalization stimuli by aufrank to the group ur-cls on 2005-07-27 19:36:55 as **
  • A tutorial on Principal Components Analysis
    (April 2002)
    by Linday Smith
    posted to compsci ml pca stimuli by aufrank to the group ur-cls on 2005-07-27 17:30:52 as read
  • ICA Using Spacings Estimates of Entropy
    Journal of Machine Learning Research, Vol. 4, No. 7-8., 1271.
    by Erik G Learned-Miller, John W Fisher
    posted to compsci ica ml stimuli by aufrank to the group ur-cls on 2005-07-27 17:25:16 as ** along with 1 person and 1 group garyfeng ReadingLab
  • Independent component analysis: algorithms and applications.
    Neural Netw, Vol. 13, No. 4-5. (n 2000), pp. 411-430.
    by A Hyvärinen, E Oja
  • The TRACE model of speech perception.
    Cognit Psychol, Vol. 18, No. 1. (January 1986), pp. 1-86.
    by JL McClelland, JL Elman
  • Volunteering as Red Queen mechanism for cooperation in public goods games.
    Science, Vol. 296, No. 5570. (10 May 2002), pp. 1129-1132.
    posted to compsci game_theory ml reasoning by aufrank to the group ur-cls on 2005-07-25 18:08:44 as read along with 3 people voiklis lilith mits
  • Efficient Greedy Learning of Gaussian Mixture Models
    Neural Computation, Vol. 15, No. 2. (1 February 2003), pp. 469-485.
    by JJ Verbeek, N Vlassis, B Krose
    posted to compsci em ml by aufrank to the group ur-cls on 2005-07-25 16:03:11 as ** along with 1 person petrposik
  • Ensemble Methods in Machine Learning
    Lecture Notes in Computer Science, Vol. 1857 (2000), pp. 1-15.
    by Thomas G Dietterich
  • Probabilistic inference using Markov chain Monte Carlo methods
    No. CRG-TR-93-1. (1993)
    by RM Neal
    posted to compsci hmm mcmc ml by aufrank to the group ur-cls on 2005-07-23 18:37:47 as read along with 5 people ppeeling Borelli dwf DavidBickel bklynbam
  • A tutorial on learning with bayesian networks
    (# 1995)
  • Bayesian learning of probabilistic language models
    (1994)
    by Andreas Stolcke
  • Gödel, Escher, Bach: An Eternal Golden Braid (20th anniversary edition with a new preface by the author)
    (30 March 2000)
    by Douglas R Hofstadter
  • The Elements of Statistical Learning
    (09 August 2001)
  • An Introduction to Reflection-Oriented Programming
    (1996)
    by J Sobel, D Friedman
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