44 search results - page 7 / 9 » Bootstrap learning of foundational representations |
106
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SYNTHESE
2010
14 years 10 months ago
2010
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In...
116
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C5
2008
IEEE
15 years 9 months ago
2008
IEEE
End-user scripting languages are relatively easy to learn, but have limited expressive power. Tile-based scripting systems are particularly accessible to beginners, but usually ar...
143
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AI
2008
Springer
15 years 1 months ago
2008
Springer
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
152
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JMLR
2010
14 years 10 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
155
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...