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ecome library [213 articles]

最近 ecome さんのライブラリ .
  • Following Curved Regularized Optimization Solution Paths
    (2005), pp. 1153-1160.
    by Saharon rosset
    edited by Lawrence K Saul, Yair Weiss, léon Bottou
    posted to regularization_path by ecome on 2008-07-02 11:09:53 as **
  • Probabilistic latent variable models as nonnegative factorizations.
    Computational intelligence and neuroscience (2008)
    posted to prior mixture latent_variables entropy by ecome on 2008-06-25 14:51:25 as **
  • Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction
    Neural Computation, Vol. 11, No. 5. (1999), pp. 1155-1182.
    by Matthew Brand
    posted to prior mixture entropy by ecome on 2008-06-25 14:49:37 as ** along with 1 person and 1 group bcroy MAML
  • An entropic estimator for structure discovery
    (1999), pp. 723-729.
    by Matthew Brand
    posted to prior mixture entropy em by ecome on 2008-06-25 14:49:04 as ** along with 1 person arthur
  • Text Classification from Labeled and Unlabeled Documents using EM
    Machine Learning, Vol. 39, No. 2/3. (2000), pp. 103-134.
    by Kamal Nigam, Andrew K Mccallum, Sebastian Thrun, Tom M Mitchell
  • On spectral clustering: Analysis and an algorithm
    (2001)
    by A Ng, M Jordan, Y Weiss
  • Text Classification using String Kernels
    (2000), pp. 563-569.
    by Huma Lodhi, John S Taylor, Nello Cristianini, Christopher JCH Watkins
    posted to text string kernel by ecome on 2008-06-04 12:41:52 as ** along with 2 people johnkork karipuf
  • Kernel logistic regression and the import vector machine
    (2001)
    by J Zhu, T Hastie
    posted to logistic_regression kernel by ecome on 2008-06-02 17:17:41 as ** along with 1 person robincha
  • Bayesian parameter estimation via variational methods
    Statistics and Computing, Vol. 10, No. 1. (January 2000), pp. 25-37.
    posted to variational by ecome on 2008-05-27 10:49:33 as ** along with 3 people wnpx dwf daniel51
  • An Introduction to Variational Methods for Graphical Models
    Machine Learning, Vol. 37, No. 2. (1999), pp. 183-233.
    by Michael I Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K Saul
  • Pattern Classification (2nd Edition)
    (21 November 2000)
    by Richard O Duda, Peter E Hart, David G Stork
  • A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box
    Expert Systems with Applications, Vol. In Press, Corrected Proof
    posted to diagnosis by ecome on 2008-05-13 15:48:41 as **
  • Spikes And Bumps: Artefacts Generated By Independent Component Analysis With Insufficient Sample Size
    by Aapo Hyvärinen, Jaakko Särelä, Ricardo Vigário
    posted to overfitting ica by ecome on 2008-05-07 14:33:46 as **
  • Maximum likelihood estimation via the ECM algorithm: A general framework
    Biometrika, Vol. 80, No. 2. (1 June 1993), pp. 267-278.
    by Xiao-Li Meng, Donald B Rubin
    posted to em by ecome on 2008-05-07 12:43:37 as ** along with 1 person juokcho
  • Minimax probability machine
    (2002)
    posted to classification by ecome on 2008-05-05 14:41:06 as **
  • A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
    The Annals of Mathematical Statistics, Vol. 41, No. 1. (1970), pp. 164-171.
    by Leonard E Baum, Ted Petrie, George Soules, Norman Weiss
    posted to em baum-welch by ecome on 2008-05-05 14:37:02 as ** along with 3 people anoopsarkar goodienough johnkork
  • Comment: Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by Jerome H Friedman
  • Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by David J Hand
  • Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates
    The Journal of VLSI Signal Processing (August 2000), pp. 133-140.
    by N Ueda, R Nakano, Z Ghahramani, GE Hinton
    posted to split_merge em by ecome on 2008-04-24 16:13:23 as **
  • Semi-blind source separation in EM brain signal processing
    Medical Applications of Signal Processing, 2005. The 3rd IEE International Seminar on (Ref. No. 2005-1119) (2005), pp. 87-92.
    by CJ James, CW Hesse
    posted to ica by ecome on 2008-04-24 16:12:10 as ** along with 2 people and 2 groups garyfeng ccpin ReadingLab PTT
  • A random inputation principle : The Stochastic EM Algorithm
    No. 901. (septembre 1988)
    by G Celeux, J Diebolt
    posted to em by ecome on 2008-04-24 16:05:56 as ** along with 1 person paulfrogerais
  • A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants
    (1998)
    by R Neal, G Hinton
    edited by MI Jordan
  • Analyse des données
    (2007)
    edited by G Govaert
    posted to file-import-08-04-24 by ecome on 2008-04-24 16:00:36 as **
  • Separation de sources 2, au-dela de l'aveugle et application
    (2007)
    edited by C Jutten, P Comon
    posted to ica by ecome on 2008-04-24 16:00:36 as **
  • An Introduction to the Bootstrap
    (15 May 1994)
    by Bradley Efron, Robert J Tibshirani
  • The Nature of Statistical Learning Theory (Information Science and Statistics)
    (19 November 1999)
    by Vladimir N Vapnik
  • Indepedent Component Analysis, Principles and Practices
    (2001)
    edited by S Roberts, R Everson
    posted to ica by ecome on 2008-04-24 15:27:35 as **
  • Numerical Optimization
    (1999)
    by Jorge Nocedal, Stephen J Wright
    posted to optimization by ecome on 2008-04-24 15:19:12 as ** along with 1 person fghorow
  • Elements of Information Theory
    (12 August 1991)
    by Thomas M Cover, Joy A Thomas
  • Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
    (15 December 2001)
    by Bernhard Schlkopf, Alexander J Smola
  • Learning from labelled and unlabelled data with label propagation
    (2002)
    by X Zhu, Z Ghahramani
    posted to semi-supervised graph by ecome on 2008-04-24 13:16:51 as read
  • Learning with local and global consistency
    (2004), pp. 321-328.
    by D Zhou, O Bousquet, T Lal, B Schölkpf
    posted to semi-supervised graph by ecome on 2008-04-24 13:16:51 as read
  • Upper probabilities based on the likelihood function
    Journal of the Royal Statistical Society B, Vol. 161 (1999), pp. 831-847.
    by P Walley, S Moral
    posted to likelihood belief_function by ecome on 2008-04-24 13:16:51 as read
  • Estimation de modèles de mélanges finis par un algorithm EM crédibiliste
    Traitement du Signal, Vol. 24, No. 2. (2007), pp. 103-113.
    posted to crem by ecome on 2008-04-24 13:16:51 as read
  • Deterministic annealing variant of the EM algorithm
    (1995), pp. 545-552.
    by N Ueda, R Nakano
    posted to em annealing by ecome on 2008-04-24 13:16:51 as read
  • Belief Functions on real numbers
    International Journal of Approximate Reasoning, Vol. 40, No. 3. (2005), pp. 181-223.
    by Ph
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Numerical representation of uncertainty
    Vol. 3 (1998), pp. 265-309.
    by Ph
    edited by DM Gabbay, Ph
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • What is Dempster-Shafer's model ?
    (1994), pp. 5-34.
    by Ph
    edited by RR Yager, M Fedrizzi, J Kacprzyk
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Belief functions: the disjunctive rule of combination and the generalized Bayesian theorem
    International Journal of Approximate Reasoning, Vol. 9 (1993), pp. 1-35.
    by Ph
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Quantifying beliefs by belief functions: An axiomatic justification
    Vol. 1 (1993), pp. 598-603.
    by Ph
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Constructing the pignistic probability function in a context of uncertainty
    (1990), pp. 29-40.
    by Ph
    edited by M Henrion, RD Schachter, LN Kanal, JF Lemmer
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Possibilistic inference from statistical data
    (1982), pp. 611-613.
    by Ph
    posted to belif_function by ecome on 2008-04-24 13:16:51 as read
  • notes Un modèle mathématico-statistique simulant le processus du diagnostic médical
    (1978)
    by Ph
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Decision Making on the Sole Basis of Statistical Likelihood
    Artificial Intelligence, Vol. 165, No. 2. (2005), pp. 137-163.
    by PP Shenoy, PH Giang
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • A mathematical theory of evidence
    (1976)
    by G Shafer
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Uniqueness of information measure in the theory of evidence
    Fuzzy Sets and Systems, Vol. 24 (1987), pp. 183-196.
    by A Ramer
    posted to information_theory belief_function by ecome on 2008-04-24 13:16:51 as read
  • Normal discrimination with unclassified observations
    Journal of the American Statistical Association, Vol. 73, No. 364. (1978), pp. 821-826.
    by T O'Neill
    posted to semi-supervised mixture by ecome on 2008-04-24 13:16:51 as read
  • A Mathematical Theory of Arguments for Statistical Evidence
    (2003)
    by PA Monney
    posted to belief_function by ecome on 2008-04-24 13:16:51 as read
  • Classification in the presence of class noise using a probabilistic Kernel Fisher Method
    Pattern Recognition, Vol. 40 (2007), pp. 3349-3357.
    by Yunlei Li, Wessels Lodeswyk, Dick De Ridder, Marcel Reinders
    posted to label-noise kernel fischer-discriminant by ecome on 2008-04-24 13:16:51 as read
  • Learning from Ambiguously Labeled Examples
    (September 2005)
    posted to soft-labels by ecome on 2008-04-24 13:16:50 as read
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