Sciweavers

1139 search results - page 41 / 228
» Boosting strategy for classification
Sort
View
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 6 days ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
CP
2000
Springer
14 years 9 hour ago
Boosting Search with Variable Elimination
Abstract. Variable elimination is the basic step of Adaptive Consistency 4 . It transforms the problem into an equivalent one, having one less variable. Unfortunately, there are ma...
Javier Larrosa
ANOR
2004
116views more  ANOR 2004»
13 years 7 months ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys
CPAIOR
2010
Springer
13 years 6 months ago
Boosting Set Constraint Propagation for Network Design
Abstract. This paper reconsiders the deployment of synchronous optical networks (SONET), an optimization problem naturally expressed in terms of set variables. Earlier approaches, ...
Justin Yip, Pascal Van Hentenryck, Carmen Gervet
CVPR
2008
IEEE
14 years 9 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu