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bpacker library [133 articles]

Статьи, недавно добавленные в библиотеку bpacker .
  • Learning from Multiple sources
    (2006)
    by Koby Crammer, Michael Kearns, Jennifer Wortman
    posted to cotraining hierarchy by bpacker on 2008-02-11 19:33:57 as ***
  • Probabilistic abstraction hierarchies
    (2001)
    by E Segal, D Koller, D Ormoneit
    posted to hierarchy probabilistic-models by bpacker on 2008-02-11 19:24:46 as read
  • General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations
    (1995), pp. 402-411.
    by David Haussler, Manfred Opper
    posted to probabilistic-models statistics by bpacker on 2008-02-08 23:38:03 as read
  • A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling
    Machine Learning, Vol. 28, No. 1. (1 July 1997), pp. 7-39.
    by Jonathan Baxter
    posted to hierarchy learning-theory probabilistic-models by bpacker on 2008-02-08 23:33:54 as read
  • A new composition theorem for learning algorithms
    (1998), pp. 583-589.
    by Nader H Bshouty
    posted to learning-theory phase-learning by bpacker on 2008-02-03 04:39:02 as ***
  • Three learning phases for radial-basis-function networks
    Neural Networks, Vol. 14, No. 4-5. (May 2001), pp. 439-458.
    by Friedhelm Schwenker, Hans A Kestler, Gunther Palm
    posted to phase-learning sparse-coding by bpacker on 2008-02-03 04:37:44 as **
  • Exact Learning Composed Classes with a Small Number of Mistakes
    Learning Theory (2006), pp. 199-213.
    by Nader Bshouty, Hanna Mazzawi
    posted to learning-theory phase-learning by bpacker on 2008-02-03 04:37:25 as ***
  • On Efficient Agnostic Learning of Linear Combinations of Basis Functions
    (1995), pp. 369-376.
    by Wee S Lee, Peter L Bartlett, Robert C Williamson
    posted to sparse-coding by bpacker on 2008-01-30 10:16:24 as **
  • Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
    National Bureau of Economic Research Working Paper Series (July 2003), 9873.
    by Marianne Bertrand, Sendhil Mullainathan
    posted to racism social-science by bpacker on 2008-01-29 04:36:08 as ***
  • Elements of Information Theory
    (5 October 2001)
    by Thomas M Cover, Joy A Thomas
    edited by Donald L Schilling
    posted to statistics by bpacker on 2008-01-28 21:57:13 as read
  • Analyzing the Effectiveness and Applicability of Co-training
    (2000), pp. 86-93.
    by Kamal Nigam, Rayid Ghani
  • Co-training from an Incremental EM Perspective
    Intelligent Data Engineering and Automated Learning – IDEAL 2004 (2004), pp. 765-773.
    by Minoo Aminian
    posted to cotraining probabilistic-models by bpacker on 2008-01-23 01:32:56 as ***
  • Learning Mixtures of Gaussians
    (1999)
    by Sanjoy Dasgupta
    posted to probabilistic-models by bpacker on 2008-01-15 02:35:37 as ***
  • Continuation methods for mixing heterogeneous sources
    (2002)
    posted to continuation-methods semisupervised-learning by bpacker on 2008-01-09 19:13:06 as ***
  • The Information Bottleneck EM algorithm
    (2003)
  • Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations
    Bernoulli, Vol. 10, No. 6. (2004), pp. 989-1010.
    by Peter J Bickel, Elizaveta Levina
    posted to regularization statistics by bpacker on 2007-12-10 18:48:07 as ***
  • Regularization in statistics
    TEST, Vol. 15, No. 2. (2006), pp. 271-344.
    by Peter Bickel, Bo Li, Alexandre Tsybakov, Sara van de Geer, Bin Yu, Teófilo Valdés, Carlos Rivero, Jianqing Fan, Aad van der Vaart
    posted to boosting regularization statistics by bpacker on 2007-12-10 18:45:12 as ***
  • On the bias of information estimates
    Psychological Bulletin, Vol. 71, No. 2. (February 1969), pp. 108-109.
    by AG Carlton
    posted to statistics by bpacker on 2007-10-23 04:12:33 as ***
  • Analytical estimates of limited sampling biases in different information measures
    Network: Computation in Neural Systems, Vol. 7, No. 1. (1996), pp. 87-107.
    by Stefano Panzeri, Alessandro Treves
    posted to statistics by bpacker on 2007-10-16 00:12:23 as ***
  • Semi-Supervised Self-Training of Object Detection Models
    by Chuck Rosenberg, Martial Hebert, Henry Schneiderman
    posted to object-detection semisupervised-learning by bpacker on 2007-10-14 15:54:38 as **
  • Analyzing the effectiveness and applicability of co-training
    (2000), pp. 86-93.
    by Kamal Nigam, Rayid Ghani
    posted to cotraining semisupervised-learning by bpacker on 2007-10-14 15:51:23 as **
  • Co-training and expansion: Towards bridging theory and practice
    (2004)
    by N Balcan, A Bluem, K Yang
    posted to cotraining by bpacker on 2007-10-14 15:45:42 as ***
  • Combining Labeled and Unlabeled Data with Co-training
    (1998)
    by Avrim Blum, Tom Mitchell
  • An augmented PAC model for semi-supervised learning
    (2005)
    by M Balcan, A Blum
  • Unsupervised improvement of visual detectors using cotraining
    (2003)
    by A Levin, P Viola, Y Freund
    posted to cotraining object-detection semisupervised-learning vision by bpacker on 2007-10-14 15:40:26 as *****
  • Exponentiated Gradient Versus Gradient Descent for Linear Predictors
    No. UCSC-CRL-94-16. (1994)
    by Jyrki Kivinen, Manfred Warmuth
  • Putting Objects in Perspective
    (2006)
    by Derek Hoiem, Alexei Efros, Martial Hebert
    posted to recognition vision by bpacker on 2007-08-31 05:04:44 as read along with 1 person and 1 group meirc vision-ng
  • Uncovering shared structures in multiclass classification
    (2007), pp. 17-24.
    by Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman
  • A dedicated generalized Procrustes algorithm for consensus molecular alignment
    Journal of Chemometrics, Vol. 18, No. 1. (2004), pp. 37-42.
    by Jacques JF Commandeur, Pieter M Kroonenberg, William J Dunn
    posted to correspondence by bpacker on 2007-08-14 01:10:21 as ** along with 1 group vision-ng
  • Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization
    (2005)
    posted to dimensionality-reduction by bpacker on 2007-08-13 18:29:12 as read along with 1 group vision-ng
  • Learning a kernel matrix for nonlinear dimensionality reduction
    (2004)
    by Kilian Q Weinberger, Fei Sha, Lawrence K Saul
  • Unsupervised learning of image manifolds by semidefinite programming
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-988-II-995 Vol.2.
    by KQ Weinberger, LK Saul
  • Spectral Methods for Dimensionality Reduction
    (2005)
    by Lawrence K Saul
  • Online multiclass learning by interclass hypothesis sharing
    (2006), pp. 313-320.
    by Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman
    posted to boosting by bpacker on 2007-08-06 21:39:14 as *** along with 1 group vision-ng
  • A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants
    (1998)
    by R Neal, G Hinton
    edited by MI Jordan
  • Rapid object detection using a boosted cascade of simple features
    (2001)
    by P Viola, M Jones
  • Learning to detect objects in images via a sparse, part-based representation
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 11. (2004), pp. 1475-1490.
    by S Agarwal, A Awan, D Roth
    posted to recognition vision by bpacker on 2007-06-29 19:35:04 as read along with 1 group vision-ng
  • Old and new matrix algebra useful for statistics
    (1997)
    by T Minka
  • A Hierarchical Community of Experts
    (1997)
    by Geoffrey E Hinton, Brian Sallans, Zoubin Ghahramani
    edited by Michael I Jordan
  • Training Products of Experts by Maximizing Contrastive Likelihood
    (1999)
    by G Hinton
  • Logistic Regression, AdaBoost and Bregman Distances
    (2000), pp. 158-169.
    by Michael Collins, Robert E Schapire, Yoram Singer
  • Products of experts
    (1999)
    by G Hinton
  • Incorporating prior knowledge into boosting
    (2002)
    by R Schapire, M Rochery, M Rahim, N Gupta
    posted to boosting priors probabilistic-models by bpacker on 2007-06-04 06:36:05 as *** along with 1 group vision-ng
  • Probabilistic principal component analysis
    (1997)
    by M Tipping, C Bishop
  • Training Products of Experts by Minimizing Contrastive Divergence
    Neural Comp., Vol. 14, No. 8. (1 August 2002), pp. 1771-1800.
    by Geoffrey E Hinton
  • Learning Probabilistic Relational Models
    Lecture Notes in Computer Science, Vol. 1864 (2000), pp. 322-??.
    by Lise Getoor
  • Improving text classification by shrinkage in a hierarchy of classes
    (1998)
  • Expected sample moments of concomitants of selected order statistics
    (2002)
    by D Arnold, H Beyer
    posted to statistics by bpacker on 2007-01-25 17:25:41 as ** along with 1 group vision-ng
  • Errors in the estimation of the variance: implications for multiple-probability fluctuation analysis.
    J Neurosci Methods, Vol. 153, No. 2. (15 June 2006), pp. 250-260.
    by C Saviane, RA Silver
    posted to statistics by bpacker on 2007-01-25 17:24:18 as ** along with 1 person and 1 group frooonk vision-ng
  • On the Mathematical Expectation of the Moments of Frequency Distributions
    by Al
    posted to statistics by bpacker on 2007-01-25 17:17:32 as ** along with 1 group vision-ng
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