1325 search results - page 123 / 265 » Algorithm Selection using Reinforcement Learning |
97
Voted
GEM
2008
15 years 4 months ago
2008
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
102
Voted
ATAL
2007
Springer
15 years 9 months ago
2007
Springer
This paper proposes a context-dependent case-based mechanism for selecting negotiation partners with the focus on the adaptation of similarity relations to a specific context. Th...
198
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
152
Voted
CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
103
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...