Freund, Y., Schapire, R.R.: A decision--theoretic generalization of on-line learning and an application to boosting. Computer and System Sciences 55(1) (1997) Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents Next 50
Boosting in PN Spaces - Martin Scholz Artificial (Correct)
No context found.
Freund, Y., Schapire, R.R.: A decision--theoretic generalization of on-line learning and an application to boosting. Computer and System Sciences 55(1) (1997)
Boosting Classifiers for Drifting Concepts - Scholz, Klinkenberg (2006) (Correct)
No context found.
Yoav Freund and Robert R. Schapire. A decision--theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119 -- 139, 1997.
Kernel Logistic Regression and the Import Vector Machine - Ji Zhu Department (Correct)
No context found.
Freund, Y. & Schapire, R. (1997) A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139.
Multi-class AdaBoost - Ji Zhu University (Correct)
No context found.
Freund, Y. & Schapire, R. (1997), `A decision theoretic generalization of on-line learning and an application to boosting', Journal of Computer and System Sciences 55(1), 119--139.
Sampling-Based Sequential Subgroup Mining - Martin Scholz Artificial (Correct)
No context found.
Y. Freund and R. R. Schapire. A decision--theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119 -- 139, 1997.
Knowledge-Based Sampling for Subgroup - Discovery Martin Scholz (Correct)
No context found.
Y. Freund and R. Schapire. A decision--theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119 -- 139, 1997.
An Ensemble Classifier for Drifting Concepts - Scholz, Klinkenberg (2005) (Correct)
No context found.
Freund, Y., Schapire, R.R.: A decision--theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55 (1997) 119 -- 139
Managing Domain Knowledge and Multiple Models with Boosting - Peng Zang Georgia (Correct)
No context found.
Yoav Freund and Robert E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. In European Conference on Computational Learning Theory, pages 23--37, 1995.
Edited Naive Bayes - Martnez-Otzeta Sierra Lazkano (Correct)
No context found.
Freund, Y. and Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119--139.
Loss Functions and Structured Domains for Support Vector Machines - Portera (2005) (Correct)
No context found.
Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. In European Conference on Computational Learning Theory, pages 23--37, 1995.
Discretizing Continuous Attributes in AdaBoost for.. - Nardiello.. (2003) (Correct)
No context found.
Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
Improved Image Annotation and Labelling - Through Multi-Label Boosting (Correct)
No context found.
Yoav Freund and Robert E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119--139, 1997.
Learning over Sets Using Boosted Manifold Principal.. - Kim, Arandjelovic.. (2005) (Correct)
No context found.
Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Proceedings of the 2nd European Conference on Computational Learning Theory, pages 23--37, 1995.
Boosting Lazy Decision Trees - Xiaoli Zhang Fern (Correct)
No context found.
Freund, Y., & Schapire, R. E. (1997). A decisiontheoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Science, 55, 119--139.
Towards Efficient Training on Large Datasets for - Genetic Programming Robert (Correct)
No context found.
Freund Y., Schapire R.E.: A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. Journal of computer and Systems Sciences. 55 Academic Press. (1997) 119-139
Nonparametric Decentralized Detection Using Kernel Methods - Nguyen, Wainwright, Jordan (2005) (Correct)
No context found.
Y. Freund and R. Schapire, "A decisiontheoretic generalization of on-line learning and an application to boosting," J. Comput. Syst. Sci., vol. 55, no. 1, pp. 119--139, 1997.
On Information Divergence Measures, Surrogate Loss.. - Nguyen, Wainwright.. (Correct)
No context found.
Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119--139, 1997.
Convexity, Classification, and Risk Bounds - Peter Bartlett Bartlett (Correct)
No context found.
Freund, Y. and Schapire, R. E. (1997), "A decision-theoretic generalization of on-line learning and an application to boosting," Journal of Computer and System Sciences, 55(1):119--139.
On Divergences, Surrogate Loss Functions, and.. - Xuanlong Nguyen Computer (Correct)
No context found.
Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119--139, 1997.
Embracing Statistical Challenges in the Information Technology Age - Yu (Correct)
No context found.
Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci., (55(1)):199--139, 1997.
Boosting with Early Stopping: Convergence and Consistency - Tong Zhang Bin (2003) (1 citation) (Correct)
No context found.
Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci., 55(1):119--139, 1997.
Convexity, Classification, and Risk Bounds - Peter Bartlett Bartlett (Correct)
No context found.
Freund, Y. and Schapire, R. E. (1997), "A decision-theoretic generalization of on-line learning and an application to boosting," Journal of Computer and System Sciences, 55(1):119--139.
Functional Adaptive Model Estimation - Gareth James And (Correct)
No context found.
Freund, Y. and Schapire, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55, 119--139.
Stream-Weight Optimization by LDA and Adaboost - For Multi-Stream Speaker (2005) (Correct)
No context found.
Y. Freund and R.E. Schapire, "A decision theoretic generalization of on-line learning and an application to boosting, " Journal of Computer and System Science, vol.55, no.1, pp.119-139, 1997.
Augmented Mixture Models for Lexical Disambiguation - Silviu Cucerzan And (2002) (Correct)
No context found.
Y. Freund and R. E. Schapire. 1997. A decision-theoretic generalization of on-line learning and application to boosting. Journal of Computer and System Sciences, 55:119--139.
First 50 documents Next 50
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC