394 search results - page 32 / 79 » An Abstract Domain of Uninterpreted Functions |
AIIDE
2006
13 years 9 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...
JCP
2008
13 years 7 months ago
2008
For both embedded systems and biological cell systems, design is a feature that defines their identity. The assembly of different components in designs of both systems can vary wid...
ECAI
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
AAAI
2011
12 years 7 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. We propose a variational framework for the integration multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functi...