63 search results - page 7 / 13 » Learning Symbolic Models of Stochastic Domains |
110
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
132
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
AAAI
1996
15 years 3 months ago
1996
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
125
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IAT
2008
IEEE
15 years 1 months ago
2008
IEEE
While context-awareness has been found to be effective for decision support in complex domains, most of such decision support systems are hard-coded, incurring significant develop...
IJCAI
1997
15 years 3 months ago
1997
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...