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davidr statistical-learning-theory [19 articles]

Recent papers added to davidr library classified by the tag statistical-learning-theory. You can also see everyone's statistical-learning-theory.
  • Theory of Classification: a Survey of Some Recent Advances
    ESAIM: P&S, Vol. 9 (2005), pp. 323-375.
    by Stéphane Boucheron, Olivier Bousquet, Gábor Lugosi
    posted to classification statistical-learning-theory by davidr on 2008-02-08 10:59:03 as **
  • Sparse multinomial logistic regression: fast algorithms and generalization bounds
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 6. (2005), pp. 957-968.
    by B Krishnapuram, L Carin, MAT Figueiredo, AJ 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
  • PAC Generalization Bounds for Co-Training
    (2001)
    by Sanjoy Dasgupta, Michael L Littman, David Mcallester
    posted to cotraining pac-learning statistical-learning-theory by davidr on 2006-07-29 18:36:49 as ** along with 3 people jdu andi_urra mukundn
  • The mathematics of learning: dealing with data
    Notices Amer. Math. Soc., Vol. 50, No. 5. (2003), pp. 537-544.
    by Tomaso Poggio, Steve Smale
    posted to statistical-learning-theory by davidr on 2006-07-29 18:31:45 as ** along with 2 people and 1 group mukundn walkking Computer_Graphics
  • Empirical Margin Distributions and Bounding the Generalization Error of Combined Classifiers
    The Annals of Statistics, Vol. 30, No. 1. (February 2002), pp. 1-50.
    by V Koltchinskii, D Panchenko
    edited by Stable, Abstract
    posted to boosting classification statistical-learning-theory by davidr on 2006-06-18 06:45:22 as **
  • notes On the best constant in the Khintchine-Kahane inequality
    Studia Mathematica, Vol. 109, No. 1. (1994), pp. 101-104.
    by Rafal Latala, Krzysztof Oleszkiewicz
    posted to math probability-theory statistical-learning-theory by davidr on 2005-10-08 20:49:19 as **
  • Rademacher and Gaussian complexities: Risk bounds and structural results
    Journal of Machine Learning Research, Vol. 3 (2002), pp. 463-482.
    by PL Bartlett, S Mendelson
    posted to statistical-learning-theory by davidr on 2005-06-16 18:05:12 as **
  • On the mathematical foundations of learning
    Bulletin of the American Mathematical Society, Vol. 39 (2002), pp. 1-49.
    by Felipe Cucker, Steve Smale
    posted to rkhs-theory statistical-learning-theory by davidr on 2005-06-07 16:57:40 as ** along with 1 person kaineci
  • The Elements of Statistical Learning
    (09 August 2001)
    by T Hastie, R Tibshirani, JH Friedman
    posted to book statistical-learning-theory statistics by davidr on 2005-05-07 04:48:24 as ** along with 39 people and 10 groups jaonary quianominorleo Repton blueskies amirsaffari 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 robotact CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
  • Kernel Methods for Pattern Analysis
    (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 13 people and 3 groups quianominorleo sb-3000 nello MatMay bayesian lyongu klaudius filippone sdvillal ecome librain kozaki jung_dalglish Computational-Genomics Pattern-Analysis LTN
  • Neural Network Learning: Theoretical Foundations
    (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 **
  • Distribution Inequalities for the Binomial Law
    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
    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 **
  • On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
    Theory of Probability and its Applications, Vol. 16, No. 2. (1971), pp. 264-280.
    by V Vapnik, A Chervonenkis
    posted to statistical-learning-theory theoretical-analysis by davidr on 2005-05-01 21:41:49 as **
  • Optimal Aggregation of Classifiers in Statistical Learning
    Annals of Statistics, Vol. 32, No. 1. (2004), pp. 135-166.
    by Alexandre B Tsybakov
    posted to statistical-learning-theory by davidr on 2005-04-03 22:33:22 as **
  • Stability and generalization
    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)
    (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 2 people olivierbousquet joeionnojitsu
  • A few notes on statistical learning theory
    (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.
    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 5 people and 1 group klouie yaroslavvb kentsis sdvillal kaineci Glimcher_Lab
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