476 search results - page 22 / 96 » Learning When to Use Lazy Learning in Constraint Solving |
73
Voted
WSC
2008
15 years 7 hour ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
ACML
2009
Springer
15 years 1 months ago
2009
Springer
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
IJCAI
1989
14 years 11 months ago
1989
Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
CSCLP
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. In this paper we present a novel approach to solving Constraint Satisfaction Problems whose constraint graphs are highly clustered and the graph of clusters is close to b...