463 search results - page 70 / 93 » Localizing Search in Reinforcement Learning |
ANOR
2011
13 years 4 months ago
2011
Hard problems for metaheuristic search can be a source of insight for developing better methods. We examine a challenging instance of such a problem that has exactly two local opt...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
AMEC
2003
Springer
14 years 2 months ago
2003
Springer
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
AAAI
1996
13 years 11 months ago
1996
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
ECSQARU
2005
Springer
14 years 3 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...