704 search results - page 25 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
171
click to vote
ICCV
1998
IEEE
16 years 7 months ago
1998
IEEE
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
212
click to vote
ICANN
2009
Springer
15 years 10 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
156
click to vote
RECOMB
2000
Springer
15 years 9 months ago
2000
Springer
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
174
click to vote
ICRA
2008
IEEE
16 years 11 days ago
2008
IEEE
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
129
click to vote
ISMDA
2001
Springer
15 years 10 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...