566 search results - page 40 / 114 » A Bayesian Approach to Semi-Supervised Learning |
AVSS
2009
IEEE
14 years 1 months ago
2009
IEEE
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
NIPS
2007
13 years 11 months ago
2007
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
ICMLA
2007
13 years 11 months ago
2007
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
UAI
1993
13 years 11 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
IJAR
2010
13 years 8 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...