62 search results - page 3 / 13 » Maximizing the Benefits of Parallel Search Using Machine Lea... |
COLING
2010
13 years 2 months ago
2010
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
LION
2007
Springer
14 years 1 months ago
2007
Springer
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
ECAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
IPPS
2007
IEEE
14 years 1 months ago
2007
IEEE
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
GIS
1992
ACM
13 years 11 months ago
1992
ACM
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...