377 search results - page 38 / 76 » Learning Bayesian networks from data: An information-theory ... |
PKDD
2000
Springer
13 years 11 months ago
2000
Springer
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
PAMI
2006
13 years 7 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
A neural network scheme is presented in this paper for adaptive video indexing and retrieval. First, a limited but characteristic amount of frames are extracted from each video sc...
VLDB
1995
ACM
13 years 11 months ago
1995
ACM
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...