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» Experiments with a New Boosting Algorithm
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ICPR
2008
IEEE
15 years 10 months ago
Collaborative learning by boosting in distributed environments
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
Shijun Wang, Changshui Zhang
ICML
2004
IEEE
15 years 10 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
ACCV
2007
Springer
15 years 3 months ago
Learning a Fast Emulator of a Binary Decision Process
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
Jan Sochman, Jiri Matas
ECIR
2003
Springer
14 years 11 months ago
Discretizing Continuous Attributes in AdaBoost for Text Categorization
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...
ML
2000
ACM
149views Machine Learning» more  ML 2000»
14 years 9 months ago
BoosTexter: A Boosting-based System for Text Categorization
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
Robert E. Schapire, Yoram Singer