1325 search results - page 206 / 265 » Algorithm Selection using Reinforcement Learning |
COLING
1992
14 years 5 days ago
1992
This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...
JMLR
2002
13 years 10 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
GECCO
2006
Springer
14 years 2 months ago
2006
Springer
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...