yaroslavvb's statistical-learning-theory [16 articles] Export

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	Are loss functions all the same? [My Copy] Neural Comput, Vol. 16, No. 5. (May 2004), pp. 1063-1076. by L. Rosasco, E. De Vito, A. Caponnetto, M. Piana, A. Verri posted to statistical-learning-theory by yaroslavvb on 2007-06-15 20:19:04 as
	Does extra knowledge necessarily improve generalization? [My Copy] Neural Comput., Vol. 8, No. 1. (January 1996), pp. 202-214. by David Barber, David Saad posted to ill statistical-learning-theory by yaroslavvb on 2005-11-29 07:32:35 as along with 1 person preeder
	For Valid Generalization the Size of the Weights is More Important than the Size of the Network [My Copy] In Advances in Neural Information Processing Systems, Vol. 9 (1997) by Peter L. Bartlett edited by Michael C. Mozer, Michael I. Jordan, Thomas Petsche posted to statistical-learning-theory by yaroslavvb on 2005-11-27 03:44:22 as along with 2 people preeder danlarkin
	On the Sample Complexity of Learning Bayesian Networks [My Copy] (1996) by Friedman posted to statistical-learning-theory by yaroslavvb on 2005-11-26 02:30:34 as along with 1 person wnpx
	Convexity, classification, and risk bounds [My Copy] Journal of the American Statistical Association (2005) by Bartlett, Jordan, Mcauliffe posted to statistical-learning-theory by yaroslavvb on 2005-11-24 20:41:09 as
	Selection of relevant features and examples in machine learning [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (December 1997), pp. 245-271. by A. Blum posted to statistical-learning-theory by yaroslavvb on 2005-11-20 23:23:58 as along with 7 people stharward gr650 sirandreus misovalko sona sdvillal srp33
	Combinatorial bounds for the quality of learning by precedents [My Copy] Dokl. Akad. Nauk, Vol. 394, No. 2. (2004), pp. 175-178. by K. V. Vorontsov posted to statistical-learning-theory by yaroslavvb on 2005-11-10 22:17:04 as
	Metric entropy and minimax risk in classification [My Copy] In Structures in logic and computer science, Vol. 1261 (1997), pp. 212-235. by David Haussler, Manfred Opper posted to statistical-learning-theory by yaroslavvb on 2005-11-09 18:46:36 as
	The mathematics of learning: dealing with data [My Copy] Notices Amer. Math. Soc., Vol. 50, No. 5. (2003), pp. 537-544. by Tomaso Poggio, Steve Smale posted to statistical-learning-theory by yaroslavvb on 2005-11-09 02:05:31 as
	An overview of statistical learning theory [My Copy] Neural Networks, IEEE Transactions on, Vol. 10, No. 5. (1999), pp. 988-999. by V. N. Vapnik posted to statistical-learning-theory by yaroslavvb on 2005-10-18 03:32:09 as along with 18 people and 9 groups makni thefillm sourada A_Olympia anoopsarkar gangli eme garyfeng arsyed yish sdvillal gane5h dwf atbrew d_burfoot rsantana balduzzi fredguilloux Philosophy_of_Information Blog_and_Wiki_Research tulip ReadingLab astro mathgamespatterns dtl vds-arg eni
	Bayes and Tukey Meet at the Center Point [My Copy] Lecture Notes in Computer Science, Vol. 3120 (January 2004), pp. 549-563. by Ran Gilad-Bachrach, Amir Navot, Naftali Tishby posted to bayesian statistical-learning-theory by yaroslavvb on 2005-09-01 02:32:31 as along with 1 person JoSeK
	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
	The Nature of Statistical Learning Theory (Information Science and Statistics) [My Copy] (19 November 1999) by Vladimir N. Vapnik posted to book statistical-learning-theory svm by yaroslavvb on 2005-03-05 21:06:39 as along with 18 people pjcite lbustio bayesian gstiglic brian thefillm creswick mthomure sdvillal atbrew girschick nmdang navil teesid jung_dalglish ecome jaonary akastrin
	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
	The Sample Complexity of Learning Fixed-Structure Bayesian Networks [My Copy] Mach. Learn., Vol. 29, No. 2-3. (1997), pp. 165-180. by Sanjoy Dasgupta posted to bayesnet mlrg pac statistical-learning-theory by yaroslavvb on 2005-03-04 03:29:00 as
	Statistical Learning Theory [My Copy] (16 September 1998) by Vladimir N. Vapnik posted to book statistical-learning-theory svm by yaroslavvb on 2005-02-28 20:55:31 as along with 23 people and 3 groups tlow montse_gg esyoun idlebrain lbustio iggykay fjanoos shrikondra brian thefillm imrchen gyuli grzegorz sdvillal archroad paolo AbnerCYH abrentnall bundschu johnkork navil shimazaki jaonary Bioinformatics QFRMC_ConsumerCredit generif_paper

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ising	37
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yaroslavvb's statistical-learning-theory [16 articles] Export

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