155 search results - page 23 / 31 » On learning linear ranking functions for beam search |
NN
2000
Springer
13 years 7 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
CG
2006
Springer
13 years 9 months ago
2006
Springer
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
ECIR
2007
Springer
13 years 9 months ago
2007
Springer
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
SIGMOD
2009
ACM
14 years 7 months ago
2009
ACM
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...