Tag statistical-learning-theory [24 articles] Export

Recent papers classified by the tag statistical-learning-theory.

	Introduction to Statistical Learning Theory [My Copy] Advanced Lectures on Machine Learning In Advanced Lectures on Machine Learning (2004), pp. 169-207. by Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi posted to statistical-learning-theory by davidr on 2009-05-29 08:56:13 as along with 4 people pigfly makni chihchun_chen mapio
	The nature of statistical learning theory [My Copy] (1995) by Vladimir N. Vapnik posted to machine-learning statistical-learning-theory by christiand on 2009-05-12 13:50:41 as along with 7 people NicholasErho pablocarb BerndLesser ldietz matteodefelice tmmurali vlachmore
	Statistical Learning Theory: Models, Concepts, and Results [My Copy] (27 Oct 2008) by Ulrike von Luxburg, Bernhard Schoelkopf posted to machine-learning statistical-learning-theory by arsyed on 2009-03-26 19:35:11 as along with 4 people and 1 group mdreid ansobol dah robotact Statistical Machine Learning
	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
	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 walkking to the group Computer_Graphics on 2007-03-09 03:37:40 as along with 2 people davidr mukundn
	Sparse multinomial logistic regression: fast algorithms and generalization bounds [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 6. (2005), pp. 957-968. by B. Krishnapuram, L. Carin, M. A. T. Figueiredo, A. J. Hartemink posted to statistical-learning-theory multiclass-classification by davidr on 2007-02-11 00:49:26 as along with 1 person and 1 group bpacker vision-ng
	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 pattern recognition regularization statistical-learning-theory support svm vector by brunomelo to the group AI on 2006-07-12 20:16:52 as along with 27 people and 5 groups barmak7282 gavin1332 drivard gkvas lbustio shrikondra vlasto now yaroslavvb sb-3000 davidr baaic sleitich ryanshaw nello MatMay grzegorz buescher76 lyongu archroad AbnerCYH atbrew kklo mfcabrera asterix77 eacosta quianominorleo sims_phd_cohort_2005 digital_youth Computational-Genomics Pattern-Analysis RiSE
	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 vapnik machine-learning statistical-learning-theory by arsyed on 2006-04-22 23:38:47 as along with 18 people and 9 groups makni thefillm sourada A_Olympia yaroslavvb anoopsarkar gangli eme garyfeng 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
	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
	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
	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
	The Elements of Statistical Learning [My Copy] (30 August 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to book statistical-learning-theory statistics by davidr on 2005-05-07 04:48:24 as along with 61 people and 11 groups ulmer fjanoos azhdari emailhy donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Kernel Methods for Pattern Analysis [My Copy] (28 June 2004) by John Shawe-Taylor, Nello Cristianini posted to kernel-from-genmodel kernel-method statistical-learning-theory by davidr on 2005-05-03 07:50:27 as along with 17 people and 3 groups gavin1332 rramirezp vlasto thefillm sb-3000 nello MatMay bayesian lyongu klaudius filippone sdvillal ecome librain kozaki jung_dalglish quianominorleo Computational-Genomics Pattern-Analysis LTN
	Neural Network Learning: Theoretical Foundations [My Copy] (15 January 1999) by Martin Anthony, Peter L. Bartlett posted to pac-learning statistical-learning-theory by davidr on 2005-05-03 07:49:55 as along with 1 person idlebrain
	Distribution Inequalities for the Binomial Law [My Copy] The Annals of Probability, Vol. 5, No. 3. (1977), pp. 404-412. by Eric V. Slud posted to probability-theory statistical-learning-theory by davidr on 2005-05-03 07:02:21 as
	Decision theoretic generalizations of the PAC model for neural net and other learning applications [My Copy] Inf. Comput., Vol. 100, No. 1. (September 1992), pp. 78-150. by David Haussler posted to statistical-learning-theory by davidr on 2005-05-02 06:27:25 as
	Stability and generalization [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 499-526. by Olivier Bousquet, Andr&\#233; Elisseeff posted to regularization stability statistical-learning-theory by davidr on 2005-04-03 11:46:25 as along with 3 people yaroslavvb pechyony olivierbousquet
	A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) [My Copy] (20 February 1997) by Luc Devroye, Laszlo Györfi, Gabor Lugosi posted to book probability-theory statistical-learning-theory by davidr on 2005-03-31 23:58:45 as along with 3 people mthomure olivierbousquet joeionnojitsu
	A few notes on statistical learning theory [My Copy] (2003), pp. 1-40. by Shahar Mendelson posted to statistical-learning-theory survey by davidr on 2005-03-31 01:04:06 as along with 4 people yaroslavvb rsaarelm olivierbousquet mukundn
	General conditions for predictivity in learning theory. [My Copy] Nature, Vol. 428, No. 6981. (25 March 2004), pp. 419-422. by T. Poggio, R. Rifkin, S. Mukherjee, P. Niyogi posted to statistical-learning-theory by davidr on 2005-03-25 20:02:42 as along with 7 people and 1 group TRHvidsten NicolaSegata klouie yaroslavvb kentsis sdvillal kaineci Glimcher_Lab
	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
	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 24 people and 3 groups wangxinxi 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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regularization	6
svm	6
book	5
machine-learning	3
pattern	3
recognition	3
support	3
vector	3
probability-theory	2
bayesian	1
bayesnet	1
ill	1
kernel-from-genmodel	1
kernel-method	1
mlrg	1
multiclass-classification	1
pac	1
pac-learning	1
stability	1
statistics	1
survey	1
vapnik	1

Tag statistical-learning-theory [24 articles] Export

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