Sciweavers

86 search results - page 2 / 18
» Pruning Improves Heuristic Search for Cost-Sensitive Learnin...
Sort
View
INTERSPEECH
2010
13 years 1 days ago
Improvements of search error risk minimization in viterbi beam search for speech recognition
This paper describes improvements in a search error risk minimization approach to fast beam search for speech recognition. In our previous work, we proposed this approach to reduc...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
LPNMR
2004
Springer
13 years 10 months ago
Answer Set Programming with Clause Learning
A conflict clause represents a backtracking solver’s analysis of why a conflict occurred. This analysis can be used to further prune the search space and to direct the search h...
Jeffrey Ward, John S. Schlipf
JMLR
2006
145views more  JMLR 2006»
13 years 5 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
CP
2007
Springer
13 years 11 months ago
Exploiting Past and Future: Pruning by Inconsistent Partial State Dominance
It has recently been shown, for the Constraint Satisfaction Problem (CSP), that the state associated with a node of the search tree built by a backtracking algorithm can be exploit...
Christophe Lecoutre, Lakhdar Sais, Sébastie...
ICCBR
2007
Springer
13 years 11 months ago
Using Cases Utility for Heuristic Planning Improvement
Current efficient planners employ an informed search guided by a heuristic function that is quite expensive to compute. Thus, ordering nodes in the search tree becomes a key issue,...
Tomás de la Rosa, Angel García Olaya...