63 search results - page 7 / 13 » Learning Symbolic Models of Stochastic Domains |
80
Voted
ICML
2007
IEEE
15 years 10 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...
ECCV
2010
Springer
14 years 11 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
14 years 10 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...
IAT
2008
IEEE
14 years 9 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
14 years 10 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...