1325 search results - page 118 / 265 » Algorithm Selection using Reinforcement Learning |
133
Voted
ALGORITHMICA
2006
15 years 2 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
116
Voted
AAAI
2008
15 years 5 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
131
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
131
Voted
CGO
2010
IEEE
15 years 9 months ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
118
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...