95 search results - page 17 / 19 » Learning Markov Logic Networks Using Structural Motifs |
IROS
2009
IEEE
13 years 12 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
13 years 10 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 ...
ICDAR
2007
IEEE
13 years 11 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 4 days 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 6 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...