yaroslavvb's regularization [36 articles] Export

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	Value Regularization and Fenchel Duality [My Copy] J. Mach. Learn. Res., Vol. 8 (2007), pp. 441-479. by Ryan M. Rifkin, Ross A. Lippert posted to kernel machine-learning regularization by yaroslavvb on 2008-01-29 07:06:14 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Just relax: convex programming methods for identifying sparse signals in noise [My Copy] Information Theory, IEEE Transactions on, Vol. 52, No. 3. (2006), pp. 1030-1051. by J. A. Tropp posted to regularization by yaroslavvb on 2007-08-01 21:59:56 as along with 1 person tsandler
	A Simple Weight Decay Can Improve Generalization [My Copy] In NIPS (1992) by Krogh posted to regularization by yaroslavvb on 2006-04-26 08:11:24 as
	Financial markets: very noisy information processing [My Copy] Proceedings of the IEEE, Vol. 86, No. 11. (1998), pp. 2184-2195. by M. Magdon-Ismail, A. Nicholson, Y. S. Abu-Mostafa posted to estimation regularization by yaroslavvb on 2006-04-26 07:00:52 as
	Nonparametric variable selection and model building via likelihood basis pursuit [My Copy] (2002) by Hao H. Zhang posted to regularization svm by yaroslavvb on 2006-04-06 00:03:12 as
	On different facets of regularization theory [My Copy] Neural Comput., Vol. 14, No. 12. (December 2002), pp. 2791-2846. by Zhe Chen, Simon Haykin posted to regularization by yaroslavvb on 2005-11-30 22:37:51 as
	Regularization learning and early stopping in linear networks [My Copy] Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on, Vol. 4 (2000), pp. 511-516 vol.4. by K. Hagiwara, K. Kuno posted to regularization by yaroslavvb on 2005-11-29 07:36:20 as
	On "Natural" Learning and Pruning in Multilayered Perceptrons [My Copy] Neural Computation, Vol. 12, No. 4. (1 April 2000), pp. 881-901. by T. Heskes posted to ann optimization regularization information-geometry by yaroslavvb on 2005-11-29 07:19:35 as
	Feature space perspectives for learning the kernel [My Copy] by Micchelli posted to regularization by yaroslavvb on 2005-11-29 04:19:45 as
	Asymptotic statistical theory of overtraining and cross-validation [My Copy] Neural Networks, IEEE Transactions on, Vol. 8, No. 5. (1997), pp. 985-996. by S. Amari, N. Murata, K. R. Muller, M. Finke, H. H. Yang posted to regularization by yaroslavvb on 2005-11-29 01:02:59 as
	Gradient directed regularization for linear regression and classification [My Copy] (2004) by Friedman posted to optimization regularization by yaroslavvb on 2005-11-25 22:49:05 as
	The effective number of parameters: An analysis of generalization and regularization in. non-linear learning systems [My Copy] NIPS (1991) by Moody posted to model-selection regularization by yaroslavvb on 2005-11-23 19:53:33 as
	Boosting as a Regularized Path to a Maximum Margin Classifier [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 941-973. by Saharon Rosset, Ji Zhu, Trevor Hastie posted to regularization by yaroslavvb on 2005-11-21 23:18:30 as
	Piecewise Linear Regularized Solution Paths [My Copy] (2004) by Saharon Rosset, Ji Zhu posted to regularization by yaroslavvb on 2005-11-21 22:00:54 as
	Incremental Feature Selection and Regularization for Relaxed Maximum-Entropy Modeling [My Copy] by Riezler, Vasserman posted to maxent regularization by yaroslavvb on 2005-11-20 22:25:33 as
	How to design a regularization term for improving generalization [My Copy] Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on, Vol. 1 (1999), pp. 222-227 vol.1. by A. Nakashima, H. Ogawa posted to regularization by yaroslavvb on 2005-11-20 19:29:06 as along with 1 person mukundn
	Optimal design of regularization term and regularization parameter by subspace information criterion [My Copy] Neural Networks, Vol. 15, No. 3. (April 2002), pp. 349-361. by M. Sugiyama, H. Ogawa posted to regularization by yaroslavvb on 2005-11-20 19:09:44 as
	Feature selection, L1 vs. L2 regularization, and rotational invariance [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 78. by Andrew Y. Ng posted to regularization by yaroslavvb on 2005-11-20 18:59:37 as along with 6 people ajbattle maximzhao jessopher sona bayesian mmunson
	A new view on regularization theory [My Copy] Systems, Man, and Cybernetics, 2001 IEEE International Conference on, Vol. 3 (2001), pp. 1642-1647 vol.3. by Zhe Chen, S. Haykin posted to regularization by yaroslavvb on 2005-11-11 19:31:53 as along with 1 person kaineci
	On the generalization of soft margin algorithms [My Copy] Information Theory, IEEE Transactions on, Vol. 48, No. 10. (2002), pp. 2721-2735. by J. Shawe-Taylor, N. Cristianini posted to regularization by yaroslavvb on 2005-11-11 19:22:43 as
	An Experimental and Theoretical Comparison of Model Selection Methods [My Copy] Machine Learning, Vol. 27 (April 1997), pp. 7-50. by Michael Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron posted to regularization by yaroslavvb on 2005-11-11 06:05:02 as
	An asymptotic property of model selection criteria [My Copy] Information Theory, IEEE Transactions on, Vol. 44, No. 1. (1998), pp. 95-116. by Yuhong Yang, A. R. Barron posted to regularization by yaroslavvb on 2005-11-11 05:12:48 as
	Risk bounds for model selection via penalization [My Copy] by Barron posted to regularization by yaroslavvb on 2005-11-11 05:10:40 as
	Akaikes Information Criterion and Recent Developments in Information Complexity [My Copy] Journal of Mathematical Psychology, Vol. 44, No. 1. (March 2000), pp. 62-91. by H. Bozdogan posted to regularization by yaroslavvb on 2005-11-03 04:51:47 as
	Akaike's Information Criterion and Recent Developments in Information Complexity. [My Copy] J Math Psychol, Vol. 44, No. 1. (March 2000), pp. 62-91. by H. Bozdogan posted to ill regularization by yaroslavvb on 2005-11-02 01:26:39 as
	Bayesian deviance, the effective number of parameters, and the comparison of arbitrarily complex [My Copy] (1998) by David Spiegelhalter posted to regularization by yaroslavvb on 2005-10-29 05:34:38 as
	Subspace information criterion for model selection. [My Copy] Neural Comput, Vol. 13, No. 8. (August 2001), pp. 1863-1889. by M. Sugiyama, H. Ogawa posted to regularization by yaroslavvb on 2005-10-29 04:34:07 as
	Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View [My Copy] In IWANN '97: Proceedings of the International Work-Conference on Artificial and Natural Neural Networks (1997), pp. 284-293. by Shun-Ichi Amari, Noboru Murata posted to regularization by yaroslavvb on 2005-10-28 23:43:16 as
	Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors [My Copy] Neural Networks, IEEE Transactions on, Vol. 13, No. 1. (2002), pp. 70-80. by K. Tsuda, M. Sugiyama, K. R. Miller posted to regularization by yaroslavvb on 2005-10-28 03:37:56 as
	Effective Dimensions of Partially Observed Polytrees [My Copy] by Tomas Kocka, Nevin Zhang posted to regularization by yaroslavvb on 2005-05-05 23:52:37 as
	A Tutorial on Schwarz' 1978 paper [My Copy] (2002) by Dmitry Rusakov posted to bayesian model-selection regularization by yaroslavvb on 2005-03-20 19:48:24 as along with 3 people brian olivierbousquet mhaller
	A few notes on statistical learning theory [My Copy] (2003), pp. 1-40. by Shahar Mendelson posted to regularization statistical-learning-theory by yaroslavvb on 2005-03-08 21:42:12 as along with 4 people rsaarelm olivierbousquet davidr mukundn
	An introduction to support vector machines : and other kernel-based learning methods [My Copy] (28 March 2000) by Nello Cristianini, John Shawe-Taylor posted to book regularization statistical-learning-theory svm by yaroslavvb on 2005-03-05 09:49:31 as along with 27 people and 6 groups barmak7282 gavin1332 drivard gkvas lbustio shrikondra vlasto now sb-3000 davidr baaic sleitich ryanshaw nello MatMay grzegorz buescher76 lyongu archroad AbnerCYH brunomelo atbrew kklo mfcabrera asterix77 eacosta quianominorleo sims_phd_cohort_2005 digital_youth Computational-Genomics Pattern-Analysis AI RiSE
	How to Tell When Simpler, More Unified, or Less Ad Hoc Theories Will Provide More Accurate Predictions [My Copy] The British Journal for the Philosophy of Science, Vol. 45, No. 1. (1994), pp. 1-35. by Malcolm Forster, Elliott Sober posted to bayesian model-selection philosophy regularization by yaroslavvb on 2005-03-05 02:40:16 as along with 5 people lcigler qwermish brian bayesian superflunky
	A maximum entropy approach to species distribution modeling [My Copy] In ICML '04: Twenty-first international conference on Machine learning (2004) by Steven J. Phillips, Miroslav Dudik, Robert E. Schapire posted to maxent mlrg regularization by yaroslavvb on 2005-03-03 09:04:10 as along with 2 people jpgonzal qiuyl
	Stability and generalization [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 499-526. by Olivier Bousquet, Andr&\#233; Elisseeff posted to regularization by yaroslavvb on 2005-03-02 19:48:06 as along with 3 people pechyony olivierbousquet davidr

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yaroslavvb's regularization [36 articles] Export

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