273 search results - page 49 / 55 » Learning the Structure of Deep Sparse Graphical Models |
ER
2008
Springer
13 years 9 months ago
2008
Springer
Abstract Although most workflow management systems nowadays offer graphical editors for process modeling, the learning curve is still too steep for users who are unexperienced in p...
IGPL
2007
13 years 7 months ago
2007
The graphical software Morph Moulder (MoMo) presented here was originally created for teaching the logical foundations of Head-Driven Phrase Structure Grammar (HPSG) in an e-Learn...
ICONIP
2004
13 years 8 months ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
UAI
2008
13 years 8 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...