467 search results - page 44 / 94 » Learning Mixtures of DAG Models |
121
Voted
ICONIP
2004
15 years 5 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...
135
Voted
ICANN
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
158
Voted
PAMI
2007
15 years 3 months ago
2007
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
115
Voted
ICRA
2006
IEEE
15 years 9 months ago
2006
IEEE
This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
101
Voted
ICANN
2005
Springer
15 years 9 months ago
2005
Springer
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...