67 search results - page 12 / 14 » On Inferences of Full Hierarchical Dependencies |
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
SIGSOFT
2003
ACM
14 years 6 months ago
2003
ACM
Automated finite-state verification techniques have matured considerably in the past several years, but state-space explosion remains an obstacle to their use. Theoretical lower b...
ASIAN
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a line of research in genetic algorithms (GAs), called building-block identification. The building blocks (BBs) are common structures inferred from a set of sol...
AAAI
2008
13 years 8 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...