1116 search results - page 87 / 224 » Applying Predicate Abstraction to Abstract State Machines |
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
ICASSP
2009
IEEE
14 years 9 months ago
2009
IEEE
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
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ECCV
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. There is a growing trend toward emotional intelligence in humancomputer interaction paradigms. In order to react appropriately to a human, the computer would need to have...
AIIDE
2006
15 years 29 days 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...
ML
2006
ACM
14 years 11 months ago
2006
ACM
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...