360 search results - page 3 / 72 » Learning Evaluation Functions for Large Acyclic Domains |
UAI
2008
13 years 7 months ago
2008
Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algo...
ICDM
2006
IEEE
14 years 2 days ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
AIIDE
2006
13 years 7 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
IJCAI
2007
13 years 7 months ago
2007
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
AI
2010
Springer
13 years 6 months ago
2010
Springer
We investigate the problem of eliciting CP-nets in the well-known model of exact learning with equivalence and membership queries. The goal is to identify a preference ordering wi...