3607 search results - page 56 / 722 » Learning with structured sparsity |
119
click to vote
IFIP12
2008
15 years 1 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
117
click to vote
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
104
click to vote
ICML
1996
IEEE
16 years 19 days ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
RECOMB
2009
Springer
16 years 13 days ago
2009
Springer
Abstract. Accurate comparative analysis tools for low-homology proteins remains a difficult challenge in computational biology, especially sequence alignment and consensus folding ...
111
click to vote
NECO
2007
14 years 11 months ago
2007
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...