696 search results - page 9 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
FMCO
2009
Springer
14 years 7 months ago
2009
Springer
The main characteristics of component models is their strict structure enabling better code reuse. Correctness of component composition is well understood formally but existing wor...
MABS
2000
Springer
15 years 1 months ago
2000
Springer
There is a growing belief that the agents' cognitive structures play a central role on the enhancement of predicative capacities of decision-making strategies. This paper anal...
143
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ILP
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
112
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ISOLA
2010
Springer
14 years 8 months ago
2010
Springer
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
AAAI
1996
14 years 11 months ago
1996
We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries...