3607 search results - page 56 / 722 » Learning with structured sparsity |
IFIP12
2008
13 years 9 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...
CVPR
2012
IEEE
11 years 10 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...
ICML
1996
IEEE
14 years 9 months 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
14 years 8 months 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 ...
NECO
2007
13 years 7 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...