387 search results - page 68 / 78 » Improving Reinforcement Learning by Using Case Based Heurist... |
BIOINFORMATICS
2007
14 years 9 months ago
2007
Motivation: Protein–protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low s...
108
click to vote
AI
2010
Springer
14 years 9 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
120
click to vote
PATMOS
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Until now, the great majority of research in low-power systems has assumed a convex power model. However, recently, due to the confluence of emerging technological and ar...
NIPS
2003
14 years 11 months ago
2003
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
JAIR
2006
14 years 9 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...