321 search results - page 42 / 65 » Learning Bayesian Networks with Local Structure |
ECSQARU
2001
Springer
15 years 6 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
135
click to vote
UAI
2001
15 years 3 months ago
2001
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
134
click to vote
KDD
2010
ACM
15 years 5 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
114
click to vote
CVPR
2000
IEEE
16 years 3 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...
107
click to vote
ICCV
1999
IEEE
15 years 6 months ago
1999
IEEE
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...