95 search results - page 17 / 19 » Learning Markov Logic Networks Using Structural Motifs |
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...
ICANN
2009
Springer
14 years 2 days 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 ...
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
JMLR
2010
13 years 2 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...
WWW
2008
ACM
14 years 8 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...