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Author Schapire [65 articles]

Recent papers posted to CiteULike by the author Schapire.
  • A decision-theoretic generalization of on-line learning and an application to boosting
    (1995), pp. 23-37.
    by Yoav Freund, Robert E Schapire
  • A short introduction to boosting
    Japonese Society for Artificial Intelligence, Vol. 14, No. 5. (1999), pp. 771-780.
  • Improved Boosting Algorithms Using Confidence-rated Predictions
    Mach. Learn., Vol. 37, No. 3. (December 1999), pp. 297-336.
    by Robert E Schapire, Yoram Singer
    posted to kdd algorithms by AbnerCYH on 2008-06-26 10:38:43 as ** along with 3 people quam vlachmore bbabenko
  • A generalization of principal component analysis to the exponential family
    (2001)
  • Learning to Order Things
    Vol. 10 (1998)
    by William W Cohen, Robert E Schapire, Yoram Singer
    edited by Michael I Jordan, Michael J Kearns, Sara A Solla
    posted to ml learning2rank by pprett on 2008-06-16 15:08:00 as *** along with 2 people KevK vlachmore
  • Hierarchical multi-label prediction of gene function.
    Bioinformatics (12 January 2006)
    by Zafer Barutcuoglu, Robert E E Schapire, Olga G G Troyanskaya
    posted to go functionprediction by carlk on 2008-06-12 17:06:55 as ** along with 2 people uknandal grahamc
  • A short introduction to boosting
    (1999)
  • The boosting approach to machine learning: An overview
    (2001)
  • The strength of weak learnability
    Machine Learning, Vol. 5, No. 2. (1 June 1990), pp. 197-227.
    by Robert E Schapire
    posted to kdd complexity algorithms by AbnerCYH on 2008-06-03 03:08:47 as **
  • Hierarchical multi-label prediction of gene function
    Bioinformatics, Vol. 22, No. 7. (1 April 2006), pp. 830-836.
    by Zafer Barutcuoglu, Robert E Schapire, Olga G Troyanskaya
    posted to networks go functionprediction by carlk on 2008-05-29 19:58:58 as ***** along with 1 person jread82
  • BoosTexter: A Boosting-based System for Text Categorization
    Machine Learning, Vol. 39, No. 2/3. (2000), pp. 135-168.
    by Robert E Schapire, Yoram Singer
  • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting,
    Journal of Computer and System Sciences, Vol. 55, No. 1. (August 1997), pp. 119-139.
    by Yoav Freund, Robert E Schapire
    posted to stochastic math kdd algorithms by AbnerCYH on 2008-05-15 02:40:34 as **
  • Using output codes to boost multiclass learning problems
    (1997), pp. 313-321.
    by Robert E Schapire
    posted to boosting by egibaja to the group Boosting on 2008-05-14 12:36:44 as ** along with 1 person kaineci
  • A decision-theoretic generalization of on-line learning and an application to boosting
    (1995), pp. 23-37.
    by Yoav Freund, Robert E Schapire
    posted to boosting by egibaja to the group Boosting on 2008-05-14 12:35:13 as ** along with 3 people justnikos ebrochu sugarexpletive
  • Improved Boosting Using Confidence-rated Predictions
    Machine Learning, Vol. 37, No. 3. (1999), pp. 297-336.
    by Robert E Schapire, Yoram Singer
  • The boosting approach to machine learning: An overview
    (2001)
  • On reoptimizing multi-class classifiers
    Machine Learning, Vol. 71, No. 2. (26 June 2008), pp. 219-242.
    by Chris Bourke, Kun Deng, Stephen Scott, Robert Schapire, N Vinodchandran
    posted to online multiclass by jjrodriguez on 2008-05-05 09:56:27 as **
  • Learning to order things
    (1998), pp. 451-457.
    by William W Cohen, Robert E Schapire, Yoram Singer
    posted to ranking by sithmein on 2008-04-29 11:23:15 as read
  • Experiments with a new boosting algorithm
    (1996), pp. 148-156.
  • Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
    (2000), pp. 9-16.
    by Erin L Allwein, Robert E Schapire, Yoram Singer
    posted to multiclass by Mohan-S on 2008-03-13 19:27:33 as *** along with 1 person mukundn
  • Advances in Boosting
    (2002), pp. 446-452.
    by Robert E Schapire
    edited by Adnan Darwiche, Nir Friedman, Adnan Darwiche, Nir Friedman
    posted to active adaboost boosting learning regression survey by pprett on 2008-03-10 20:17:16 as read
  • An efficient boosting algorithm for combining preferences
    J. Mach. Learn. Res., Vol. 4 (2003), pp. 933-969.
    by Yoav Freund, Raj Iyer, Robert E Schapire, Yoram Singer
    posted to boosting learning2rank rankboost by pprett on 2008-03-10 20:08:46 as **** along with 1 person vlachmore
  • Improved Boosting Using Confidence-rated Predictions
    Machine Learning, Vol. 37, No. 3. (1999), pp. 297-336.
    by Robert E Schapire, Yoram Singer
  • BoosTexter: A Boosting-based Systemfor Text Categorization
    Mach. Learn., Vol. 39, No. 2-3. (2000), pp. 135-168.
    by Robert E Schapire, Yoram Singer
    posted to text-classification by adamsi on 2008-03-10 08:00:06 as **
  • Gambling in a rigged casino: the adversarial multi-armed bandit problem
    (1995), pp. 322-331.
    by Peter Auer, Nicolò C Bianchi, Yoav Freund, Robert E Schapire
    posted to adversarial bandit_problem partial_information by bsilverthorn on 2008-03-08 21:57:06 as read
  • How boosting the margin can also boost classifier complexity
    (2006), pp. 753-760.
    by Lev Reyzin, Robert E Schapire
  • Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods
    The Annals of Statistics, Vol. 26, No. 5. (1998), pp. 1651-1686.
    by Robert E Schapire, Yoav Freund, Peter Bartlett, Wee S Lee
  • Margin-Based Ranking Meets Boosting in the Middle
    Learning Theory (2005), pp. 63-78.
    by Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E Schapire
    posted to adaboost learning2rank margin rankboost by pprett on 2008-02-27 19:45:08 as ** along with 1 person Vezhnick
  • Boosting for document routing
    (2000), pp. 70-77.
    by Raj D Iyer, David D Lewis, Robert E Schapire, Yoram Singer, Amit Singhal
    posted to boosting filtering learning2rank querz rankboost rocchio routing zoning by pprett on 2008-02-22 13:21:30 as read
  • Boosting and Rocchio applied to text filtering
    (1998), pp. 215-223.
    by Robert E Schapire, Yoram Singer, Amit Singhal
    edited by Bruce W Croft, Alistair Moffat, Cornelis J van Rijsbergen, Ross Wilkinson, Justin Zobel
    posted to boosting filtering information rocchio by pprett on 2008-02-21 20:10:24 as **** along with 1 person ehohman
  • The Strength of Weak Learnability
    Machine Learning, Vol. 5 (1990), pp. 197-227.
    by Robert E Schapire
    posted to misc by sugarexpletive on 2008-02-21 15:35:15 as read
  • Boosting and Rocchio applied to text filtering
    (1998), pp. 215-223.
    by Robert E Schapire, Yoram Singer, Amit Singhal
    edited by Bruce W Croft, Alistair Moffat, Cornelis J van Rijsbergen, Ross Wilkinson, Justin Zobel
    posted to misc by sugarexpletive on 2008-02-21 15:23:16 as read
  • Faster solutions of the inverse pairwise Ising problem
    (15 Dec 2007)
    by Tamara Broderick, Miroslav Dudik, Gasper Tkacik, Robert E Schapire, William Bialek
    posted to toread-tribes by lfriedl on 2008-02-13 22:29:50 as ****
  • On the Dynamics of Boosting
    (2004)
    by Cynthia Rudin, Ingrid Daubechies, Robert E Schapire
    posted to misc by sugarexpletive on 2008-02-04 21:35:43 as read
  • Toward Efficient Agnostic Learning
    (1992), pp. 341-352.
    by Michael J Kearns, Robert E Schapire, Linda Sellie
  • Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
    (2000), pp. 9-16.
    by Erin L Allwein, Robert E Schapire, Yoram Singer
    posted to multisvm by Mohan-S on 2008-01-10 11:19:23 as ** along with 2 people yosuke sachina
  • Using and combining predictors that specialize
    (1997), pp. 334-343.
    by Yoav Freund, Robert E Schapire, Yoram Singer, Manfred K Warmuth
    posted to bma sequence-prediction by davidr on 2007-11-25 20:14:11 as **
  • BoosTexter: A Boosting-based System for Text Categorization
    Machine Learning, Vol. 39, No. 2/3. (2000), pp. 135-168.
    by Robert E Schapire, Yoram Singer
    posted to boosting categorization text by vlachmore on 2007-11-07 14:55:28 as **
  • Logistic Regression, AdaBoost and Bregman Distances
    (2000), pp. 158-169.
    by Michael Collins, Robert E Schapire, Yoram Singer
  • A Generalization of Principal Components Analysis to the Exponential Family
    (2002)
    edited by TG Dietterich, S Becker, Z Ghahramani
    posted to pca by kohei-h on 2007-10-08 03:58:22 as read along with 1 person archroad
  • A decision-theoretic generalization of on-line learning and an application to boosting
    (1995), pp. 23-37.
    by Yoav Freund, Robert E Schapire
  • Experiments with a New Boosting Algorithm
    (1996), pp. 148-156.
    by Yoav Freund, Robert E Schapire
  • Logistic Regression, AdaBoost and Bregman Distances
    Mach. Learn., Vol. 48, No. 1-3. (2002), pp. 253-285.
    by Michael Collins, Robert E Schapire, Yoram Singer
    posted to boosting logistic-regression regression by Daniel24 on 2007-09-07 17:20:57 as read
  • A maximum entropy approach to species distribution modeling
    (2004)
    by Steven J Phillips, Miroslav Dud&\#237;k, Robert E Schapire
    posted to butterfly diffusion_model by qiuyl on 2007-06-21 19:54:10 as ** along with 2 people jpgonzal yaroslavvb
  • Incorporating prior knowledge into boosting
    (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
  • Improved boosting algorithms using confidence-rated predictions
    (1998), pp. 80-91.
    by Robert E Schapire, Yoram Singer
    posted to no-tag by chrisv on 2007-04-29 20:30:20 as ***
  • Discussion of the paper arcing classifiers by leo breiman
    (1998)
    posted to boosting ensembles error-estimation ml-foundations ml-philosophy by sdvillal on 2007-03-31 22:22:59 as **
  • Reducing multiclass to binary: a unifying approach for margin classifiers
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 113-141.
    by Erin L Allwein, Robert E Schapire, Yoram Singer
    posted to boosting ensembles kernel-machines multiclass by sdvillal on 2007-03-31 19:47:59 as **
  • Using output codes to boost multiclass learning problems
    (1997), pp. 313-321.
    by Robert E Schapire
  • BoosTexter: A system for multiclass multi-label text categorization
    (1998)
    posted to adaboost multilabel textclassification by jread82 on 2007-02-26 22:24:12 as ***
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