bpacker's library 136 articles Export

	Modeling Visual Patterns by Integrating Descriptive and Generative Methods [My Copy] Int. J. Comput. Vision, Vol. 53, No. 1. (June 2003), pp. 5-29. by Cheng-En Guo, Song-Chun Zhu, Ying N. Wu posted to probabilistic-models by bpacker on 2008-09-02 01:53:23 as along with 1 person and 1 group ciga Computational_Information_Geometry
	An empirical analysis of likelihood-weighting simulation on a large, multiply connected medical belief network [My Copy] Comput. Biomed. Res., Vol. 24, No. 5. (October 1991), pp. 453-475. by Michael Shwe, Gregory Cooper posted to medical probabilistic-models by bpacker on 2008-08-06 01:10:33 as
	Text Classification for DAG-Structured Categories [My Copy] Advances in Knowledge Discovery and Data Mining (2005), pp. 290-300. by Cao D. Nguyen, Tran A. Dung, Tru H. Cao posted to classification hierarchy nlp by bpacker on 2008-06-27 02:15:52 as along with 1 person agaelebe
	Learning from Multiple sources [My Copy] In Neural Information Processing Systems (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 [My Copy] (2001) by E. Segal, D. Koller, D. Ormoneit posted to hierarchy probabilistic-models by bpacker on 2008-02-11 19:24:46 as
	General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations [My Copy] In Computational Learing Theory (1995), pp. 402-411. by David Haussler, Manfred Opper posted to probabilistic-models statistics by bpacker on 2008-02-08 23:38:03 as
	A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling [My Copy] 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 along with 1 person Cavadini
	A new composition theorem for learning algorithms [My Copy] In STOC '98: Proceedings of the thirtieth annual ACM symposium on Theory of computing (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 [My Copy] 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 [My Copy] 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 [My Copy] In Computational Learing Theory (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 [My Copy] 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 [My Copy] (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
	Analyzing the Effectiveness and Applicability of Co-training [My Copy] In CIKM (2000), pp. 86-93. by Kamal Nigam, Rayid Ghani posted to cotraining probabilistic-models by bpacker on 2008-01-23 16:45:13 as along with 3 people davidr buescher76 mukundn
	Co-training from an Incremental EM Perspective [My Copy] 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 [My Copy] In FOCS '99: Proceedings of the 40th Annual Symposium on Foundations of Computer Science (1999) by Sanjoy Dasgupta posted to probabilistic-models by bpacker on 2008-01-15 02:35:37 as
	Continuation methods for mixing heterogeneous sources [My Copy] (2002) by A. Corduneanu, T. Jaakkola posted to continuation-methods semisupervised-learning by bpacker on 2008-01-09 19:13:06 as
	The Information Bottleneck EM algorithm [My Copy] (2003) by G. Elidan, N. Friedman posted to continuation-methods probabilistic-models statistics by bpacker on 2008-01-09 19:12:25 as along with 1 person markusd
	Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations [My Copy] 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 along with 2 people zufar agogoh3
	Regularization in statistics [My Copy] TEST, Vol. 15, No. 2. (2006), pp. 271-344. by Peter Bickel, Bo Li, Alexandre Tsybakov, et al.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 [My Copy] Psychological Bulletin, Vol. 71, No. 2. (February 1969), pp. 108-109. by A. G. Carlton posted to statistics by bpacker on 2007-10-23 04:12:33 as
	Analytical estimates of limited sampling biases in different information measures [My Copy] 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 [My Copy] by Chuck Rosenberg, Martial Hebert, Henry Schneiderman posted to object-detection semisupervised-learning by bpacker on 2007-10-14 15:54:38 as along with 1 person sugarexpletive
	Analyzing the effectiveness and applicability of co-training [My Copy] In CIKM '00: Proceedings of the ninth international conference on Information and knowledge management (2000), pp. 86-93. by Kamal Nigam, Rayid Ghani posted to cotraining semisupervised-learning by bpacker on 2007-10-14 15:51:23 as along with 1 person holopoj
	Co-training and expansion: Towards bridging theory and practice [My Copy] (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 [My Copy] In COLT: Proceedings of the Workshop on Computational Learning Theory, Morgan Kaufmann Publishers (1998) by Avrim Blum, Tom Mitchell posted to cotraining semisupervised-learning by bpacker on 2007-10-14 15:42:59 as along with 10 people and 2 groups gangli davidr andi_urra mukundn sdvillal gkvas markymaypo sugarexpletive jdu adamsi tulip ARTFL
	An augmented PAC model for semi-supervised learning [My Copy] (2005) by M. Balcan, A. Blum posted to cotraining semisupervised-learning by bpacker on 2007-10-14 15:42:12 as along with 1 person sugarexpletive
	Unsupervised improvement of visual detectors using cotraining [My Copy] (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 [My Copy] No. UCSC-CRL-94-16. (1994) by Jyrki Kivinen, Manfred Warmuth posted to algorithms optimization by bpacker on 2007-09-04 21:06:05 as along with 1 person and 2 groups varung vision-ng dags
	Putting Objects in Perspective [My Copy] In CVPR (2006) by Derek Hoiem, Alexei Efros, Martial Hebert posted to recognition vision by bpacker on 2007-08-31 05:04:44 as along with 2 people and 1 group meirc iansimon vision-ng
	Uncovering shared structures in multiclass classification [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 17-24. by Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman posted to classification hierarchy product-of-experts vision by bpacker on 2007-08-20 18:36:15 as along with 3 people and 1 group ajbattle noandrews vinaypn vision-ng
	A dedicated generalized Procrustes algorithm for consensus molecular alignment [My Copy] Journal of Chemometrics, Vol. 18, No. 1. (2004), pp. 37-42. by Jacques J. F. 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 [My Copy] (2005) by W. Weinberger, B. Packer, L. Saul posted to dimensionality-reduction by bpacker on 2007-08-13 18:29:12 as along with 1 group vision-ng
	Learning a kernel matrix for nonlinear dimensionality reduction [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 106. by Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul posted to dimensionality-reduction by bpacker on 2007-08-13 18:23:03 as along with 5 people and 1 group stober awg2 amargoli sdvillal jccaicedo vision-ng
	Unsupervised learning of image manifolds by semidefinite programming [My Copy] Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on In 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 K. Q. Weinberger, L. K. Saul posted to dimensionality-reduction by bpacker on 2007-08-13 18:15:28 as along with 1 person and 1 group teesid vision-ng
	Spectral Methods for Dimensionality Reduction [My Copy] (2005) by Lawrence K. Saul posted to dimensionality-reduction by bpacker on 2007-08-09 09:19:35 as along with 1 person and 1 group DavidSchulz vision-ng
	Online multiclass learning by interclass hypothesis sharing [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (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 person and 1 group ajbattle vision-ng
	A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants [My Copy] In Learning in Graphical Models (1998) by R. Neal, G. Hinton edited by M. I. Jordan posted to cotraining probabilistic-models by bpacker on 2007-08-06 19:36:13 as along with 8 people and 2 groups ppeeling zheaton shilad ml_and_apps noa singhsh sfuniak ecome GroupLens vision-ng
	Rapid object detection using a boosted cascade of simple features [My Copy] (2001) by P. Viola, M. Jones posted to boosting vision by bpacker on 2007-07-12 19:27:38 as along with 3 people and 1 group meirc olyweb zhengzhong vision-ng
	Learning to detect objects in images via a sparse, part-based representation [My Copy] 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 along with 1 person and 1 group jzujovic vision-ng
	Old and new matrix algebra useful for statistics [My Copy] (1997) by T. Minka posted to math by bpacker on 2007-06-21 19:10:41 as along with 4 people and 1 group ppeeling ansobol gane5h bamberg vision-ng
	A Hierarchical Community of Experts [My Copy] In Learning in Graphical Models (1997) by Geoffrey E. Hinton, Brian Sallans, Zoubin Ghahramani edited by Michael I. Jordan posted to hierarchy probabilistic-models product-of-experts by bpacker on 2007-06-21 17:15:17 as along with 3 people and 1 group Scis0000002 zheaton scis0000001 vision-ng
	Training Products of Experts by Maximizing Contrastive Likelihood [My Copy] (1999) by G. Hinton posted to probabilistic-models product-of-experts by bpacker on 2007-06-21 17:14:12 as along with 1 person and 1 group zheaton vision-ng
	Logistic Regression, AdaBoost and Bregman Distances [My Copy] In Computational Learing Theory (2000), pp. 158-169. by Michael Collins, Robert E. Schapire, Yoram Singer posted to boosting probabilistic-models by bpacker on 2007-06-04 23:12:55 as along with 2 people and 1 group dragonrez Daniel24 vision-ng
	Products of experts [My Copy] (1999) by G. Hinton posted to probabilistic-models product-of-experts by bpacker on 2007-06-04 17:04:30 as along with 5 people and 1 group ednarofi zheaton ecome zeppe stueckle vision-ng
	Incorporating prior knowledge into boosting [My Copy] (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 [My Copy] (1997) by M. Tipping, C. Bishop posted to probabilistic-models by bpacker on 2007-06-01 19:32:45 as along with 10 people and 3 groups pdlug davidr mad ecome Theo walkking flavian_vasile ShaileshKumar vlachmore kohei-h vision-ng LTN Computer_Graphics
	Training Products of Experts by Minimizing Contrastive Divergence [My Copy] Neural Comp., Vol. 14, No. 8. (1 August 2002), pp. 1771-1800. by Geoffrey E. Hinton posted to probabilistic-models product-of-experts by bpacker on 2007-06-01 02:45:07 as along with 2 people and 1 group zheaton zeppe vision-ng
	Learning Probabilistic Relational Models [My Copy] Lecture Notes in Computer Science, Vol. 1864 (2000), pp. 322-??. by Lise Getoor posted to probabilistic-models by bpacker on 2007-03-26 02:47:22 as along with 3 people and 1 group wnpx krisl paulomagalhaes vision-ng
	Improving text classification by shrinkage in a hierarchy of classes [My Copy] (1998) by A. Mccallum, R. Rosenfeld, T. Mitchell, A. Ng posted to classification hierarchy nlp statistics topic by bpacker on 2007-02-01 09:24:42 as along with 3 people and 1 group avulanov gridinoc jread82 vision-ng

Note: You may cite this page as: http://www.citeulike.org/user/bpacker

Result page: 1 2 3 Next

vision	44
probabilistic-models	21
classification	13
statistics	13
sparse-coding	12
boosting	11
caltech	10
cotraining	9
recognition	9
hierarchy	8
social-science	8
v1	8
evolution	7
feedback	7
nlp	7
orientation	7
topic	7
v2	7
algorithms	6
complex-cell	6
contour	6
semisupervised-learning	6
ncrf	5
product-of-experts	5
dimensionality-reduction	4
lasso	4
lda	4
parental-investment	4
bag-of-patches	3
collaborative-filtering	3
curvature	3
ica	3
learning-theory	3
phase-learning	3
sna	3
color	2
continuation-methods	2
endstopping	2
object-detection	2
priors	2
regularization	2
trees	2
correspondence	1
feedforward	1
hmm	1
math	1
medical	1
optimization	1
pos	1
racism	1

bpacker's library 136 articles Export

bpacker's tags