124 search results - page 22 / 25 » Bottom-up learning of Markov logic network structure |
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
JMLR
2010
13 years 3 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...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
RECOMB
2007
Springer
14 years 8 months ago
2007
Springer
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...
WWW
2008
ACM
14 years 9 months ago
2008
ACM
The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia inf...