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1

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Yoav Freund, Robert E Schapire

Journal:

Journal of Computer and System Sciences

Year:

1997

Language:

english

File:

PDF, 627 KB

english, 1997

2

Maximum entropy modeling of species geographic distributions

Steven J. Phillips, Robert P. Anderson, Robert E. Schapire

Journal:

Ecological Modelling

Year:

2006

Language:

english

File:

PDF, 902 KB

english, 2006

3

The strength of weak learnability

Schapire, Robert E.

Journal:

Machine Learning

Year:

1990

Language:

english

File:

PDF, 1.76 MB

english, 1990

4

The Strength of Weak Learnability

Schapire, Robert E.

Journal:

Machine Learning

Year:

1990

Language:

english

File:

PDF, 1.97 MB

english, 1990

5

Improved Boosting Algorithms Using Confidence-rated Predictions

Robert E. Schapire, Yoram Singer

Journal:

Machine Learning

Year:

1999

Language:

english

File:

PDF, 251 KB

english, 1999

6

The Nonstochastic Multiarmed Bandit Problem

Auer, Peter, Cesa-Bianchi, Nicolò, Freund, Yoav, Schapire, Robert E.

Journal:

SIAM Journal on Computing

Year:

2002

Language:

english

File:

PDF, 288 KB

english, 2002

7

On reoptimizing multi-class classifiers

Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran

Journal:

Machine Learning

Year:

2008

Language:

english

File:

PDF, 581 KB

english, 2008

8

On-Line Portfolio Selection Using Multiplicative Updates

David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth

Journal:

Mathematical Finance

Year:

1998

Language:

english

File:

PDF, 314 KB

english, 1998

9

A Comparison of New and Old Algorithms for a Mixture Estimation Problem

David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth

Journal:

Machine Learning

Year:

1997

Language:

english

File:

PDF, 507 KB

english, 1997

10

Predicting Nearly As Well As the Best Pruning of a Decision Tree

David P. Helmbold, Robert E. Schapire

Journal:

Machine Learning

Year:

1997

Language:

english

File:

PDF, 359 KB

english, 1997

11

BoosTexter: A Boosting-based System for Text Categorization

Robert E. Schapire, Yoram Singer

Journal:

Machine Learning

Year:

2000

Language:

english

File:

PDF, 433 KB

english, 2000

12

Large Margin Classification Using the Perceptron Algorithm

Yoav Freund, Robert E. Schapire

Journal:

Machine Learning

Year:

1999

Language:

english

File:

PDF, 156 KB

english, 1999

13

Drifting Games

Robert E. Schapire

Journal:

Machine Learning

Year:

2001

Language:

english

File:

PDF, 132 KB

english, 2001

14

Logistic Regression, AdaBoost and Bregman Distances

Michael Collins, Robert E. Schapire, Yoram Singer

Journal:

Machine Learning

Year:

2002

Language:

english

File:

PDF, 233 KB

english, 2002

15

On the worst-case analysis of temporal-difference learning algorithms

Schapire, Robert E., Warmuth, Manfred K.

Journal:

Machine Learning

Year:

1996

Language:

english

File:

PDF, 1.15 MB

english, 1996

16

Learning probabilistic read-once formulas on product distributions

Schapire, Robert E.

Journal:

Machine Learning

Year:

1994

Language:

english

File:

PDF, 1.62 MB

english, 1994

17

Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension

Haussler, David, Kearns, Michael, Schapire, Robert E.

Journal:

Machine Learning

Year:

1994

Language:

english

File:

PDF, 1.63 MB

english, 1994

18

Toward efficient agnostic learning

Kearns, Michael J., Schapire, Robert E., Sellie, Linda M.

Journal:

Machine Learning

Year:

1994

Language:

english

File:

PDF, 1.58 MB

english, 1994

19

On the Worst-Case Analysis of Temporal-Difference Learning Algorithms

Schapire, Robert E., Warmuth, Manfred K.

Journal:

Machine Learning

Year:

1996

File:

PDF, 1.24 MB

1996

20

Toward Efficient Agnostic Learning

Kearns, Michael J., Schapire, Robert E., Sellie, Linda M.

Journal:

Machine Learning

Year:

1994

Language:

english

File:

PDF, 1.71 MB

english, 1994

21

Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension

Haussler, David, Kearns, Michael, Schapire, Robert E.

Journal:

Machine Learning

Year:

1994

Language:

english

File:

PDF, 1.74 MB

english, 1994

22

Learning Probabilistic Read-once Formulas on Product Distributions

Schapire, Robert E.

Journal:

Machine Learning

Year:

1994

Language:

english

File:

PDF, 1.71 MB

english, 1994

23

[ACM Press Twenty-first international conference - Banff, Alberta, Canada (2004.07.04-2004.07.08)] Twenty-first international conference on Machine learning - ICML '04 - A maximum entropy approach to species distribution modeling

Phillips, Steven J., Dudík, Miroslav, Schapire, Robert E.

Year:

2004

Language:

english

File:

PDF, 160 KB

english, 2004

24

Boosting the margin: a new explanation for the effectiveness of voting methods

Schapire, Robert E., Freund, Yoav, Bartlett, Peter, Lee, Wee Sun

Journal:

The Annals of Statistics

Year:

1998

Language:

english

File:

PDF, 277 KB

english, 1998

25

[ACM Press the 23rd international conference - Pittsburgh, Pennsylvania (2006.06.25-2006.06.29)] Proceedings of the 23rd international conference on Machine learning - ICML '06 - Algorithms for portfolio management based on the Newton method

Agarwal, Amit, Hazan, Elad, Kale, Satyen, Schapire, Robert E.

Year:

2006

Language:

english

File:

PDF, 203 KB

english, 2006

26

[ACM Press the 19th international conference - Raleigh, North Carolina, USA (2010.04.26-2010.04.30)] Proceedings of the 19th international conference on World wide web - WWW '10 - A contextual-bandit approach to personalized news article recommendation

Li, Lihong, Chu, Wei, Langford, John, Schapire, Robert E.

Year:

2010

Language:

english

File:

PDF, 543 KB

english, 2010

27

BOOSTING PERFORMANCE IN NEURAL NETWORKS

DRUCKER, HARRIS, SCHAPIRE, ROBERT, SIMARD, PATRICE

Journal:

International Journal of Pattern Recognition and Artificial Intelligence

Year:

1993

Language:

english

File:

PDF, 812 KB

english, 1993

28

Learning Sparse Multivariate Polynomials over a Field with Queries and Counterexamples

Robert E. Schapire, Linda M. Sellie

Journal:

Journal of Computer and System Sciences

Year:

1996

Language:

english

File:

PDF, 520 KB

english, 1996

29

Combining active and semi-supervised learning for spoken language understanding

Gokhan Tur, Dilek Hakkani-Tür, Robert E. Schapire

Journal:

Speech Communication

Year:

2005

Language:

english

File:

PDF, 444 KB

english, 2005

30

Efficient distribution-free learning of probabilistic concepts

Michael J. Kearns, Robert E. Schapire

Journal:

Journal of Computer and System Sciences

Year:

1994

Language:

english

File:

PDF, 1.95 MB

english, 1994

31

Learning with continuous experts using drifting games

Indraneel Mukherjee, Robert E. Schapire

Journal:

Theoretical Computer Science

Year:

2010

Language:

english

File:

PDF, 448 KB

english, 2010

32

Special Invited Paper. Additive Logistic Regression: A Statistical View of Boosting: Discussion

Yoav Freund and Robert E. Schapire

Journal:

The Annals of Statistics

Year:

2000

Language:

english

File:

PDF, 339 KB

english, 2000

33

Efficient Learning of Typical Finite Automata from Random Walks

Yoav Freund, Michael Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie

Journal:

Information and Computation

Year:

1997

Language:

english

File:

PDF, 427 KB

english, 1997

34

Adaptive Game Playing Using Multiplicative Weights

Yoav Freund, Robert E. Schapire

Journal:

Games and Economic Behavior

Year:

1999

Language:

english

File:

PDF, 151 KB

english, 1999

35

Learning Binary Relations and Total Orders

Goldman, Sally A., Rivest, Ronald L., Schapire, Robert E.

Journal:

SIAM Journal on Computing

Year:

1993

Language:

english

File:

PDF, 3.74 MB

english, 1993

36

Exact Identification of Read-Once Formulas Using Fixed Points of Amplification Functions

Goldman, Sally A., Kearns, Michael J., Schapire, Robert E.

Journal:

SIAM Journal on Computing

Year:

1993

Language:

english

File:

PDF, 2.95 MB

english, 1993

37

Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations

Lozano, Aurelie C., Kulkarni, Sanjeev R., Schapire, Robert E.

Journal:

IEEE Transactions on Information Theory

Year:

2014

Language:

english

File:

PDF, 245 KB

english, 2014

38

[IEEE ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Prague, Czech Republic (2011.05.22-2011.05.27)] 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Compressive sensing meets game theory

Jafarpour, Sina, Schapire, Robert E., Cevher, Volkan

Year:

2011

Language:

english

File:

PDF, 287 KB

english, 2011

39

[IEEE 2011 IEEE International Symposium on Information Theory - ISIT - St. Petersburg, Russia (2011.07.31-2011.08.5)] 2011 IEEE International Symposium on Information Theory Proceedings - A game theoretic approach to expander-based compressive sensing

Jafarpour, Sina, Cevher, Volkan, Schapire, Robert E.

Year:

2011

Language:

english

File:

PDF, 506 KB

english, 2011

40

[IEEE 28th Annual Symposium on Foundations of Computer Science - Los Angeles, CA, USA (1987.10.12-1987.10.14)] 28th Annual Symposium on Foundations of Computer Science (sfcs 1987) - Diversity-based inference of finite automata

Rivest, Ronald L., Schapire, Robert E.

Year:

1987

Language:

english

File:

PDF, 1.26 MB

english, 1987

41

Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods

Robert E. Schapire, Yoav Freund, Peter Bartlett and Wee Sun Lee

Journal:

The Annals of Statistics

Year:

1998

Language:

english

File:

PDF, 3.81 MB

english, 1998

42

[ACM Press the 19th annual international ACM SIGIR conference - Zurich, Switzerland (1996.08.18-1996.08.22)] Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96 - Training algorithms for linear text classifiers

Lewis, David D., Schapire, Robert E., Callan, James P., Papka, Ron

Year:

1996

Language:

english

File:

PDF, 996 KB

english, 1996

43

[IEEE ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Florence, Italy (2014.5.4-2014.5.9)] 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Error-adaptive classifier boosting (EACB): Exploiting data-driven training for highly fault-tolerant hardware

Wang, Zhuo, Schapire, Robert, Verma, Naveen

Year:

2014

Language:

english

File:

PDF, 230 KB

english, 2014

44

[ACM Press the 21st annual international ACM SIGIR conference - Melbourne, Australia (1998.08.24-1998.08.28)] Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '98 - Boosting and Rocchio applied to text filtering

Schapire, Robert E., Singer, Yoram, Singhal, Amit

Year:

1998

Language:

english

File:

PDF, 1.21 MB

english, 1998

45

Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference

Wang, Zhuo, Schapire, Robert E., Verma, Naveen

Journal:

IEEE Transactions on Circuits and Systems I: Regular Papers

Year:

2015

Language:

english

File:

PDF, 1.56 MB

english, 2015

46

[ACM Press the 24th international conference - Corvalis, Oregon (2007.06.20-2007.06.24)] Proceedings of the 24th international conference on Machine learning - ICML '07 - Hierarchical maximum entropy density estimation

Dudik, Miroslav, Blei, David M., Schapire, Robert E.

Year:

2007

Language:

english

File:

PDF, 254 KB

english, 2007

47

[ACM Press the 25th international conference - Helsinki, Finland (2008.07.05-2008.07.09)] Proceedings of the 25th international conference on Machine learning - ICML '08 - Apprenticeship learning using linear programming

Syed, Umar, Bowling, Michael, Schapire, Robert E.

Year:

2008

Language:

english

File:

PDF, 208 KB

english, 2008

48

[ACM Press the 23rd international conference - Pittsburgh, Pennsylvania (2006.06.25-2006.06.29)] Proceedings of the 23rd international conference on Machine learning - ICML '06 - How boosting the margin can also boost classifier complexity

Reyzin, Lev, Schapire, Robert E.

Year:

2006

Language:

english

File:

PDF, 239 KB

english, 2006

49

[ACM Press the twenty-fifth annual ACM symposium - San Diego, California, United States (1993.05.16-1993.05.18)] Proceedings of the twenty-fifth annual ACM symposium on Theory of computing - STOC '93 - How to use expert advice

Cesa-Bianchi, Nicolò, Freund, Yoav, Helmbold, David P., Haussler, David, Schapire, Robert E., Warmuth, Manfred K.

Year:

1993

Language:

english

File:

PDF, 1.10 MB

english, 1993

50

Diversity-based inference of finite automata

Rivest, Ronald L., Schapire, Robert E.

Journal:

Journal of the ACM

Year:

1994

Language:

english

File:

PDF, 2.19 MB

english, 1994

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