824 search results - page 47 / 165 » Learning probabilistic logic models from probabilistic examp... |
139
click to vote
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
139
click to vote
CVIU
2004
15 years 4 months ago
2004
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
169
click to vote
SAB
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
142
click to vote
CONCUR
2004
Springer
15 years 9 months ago
2004
Springer
We present a modular approach to defining logics for a wide variety of state-based systems. We use coalgebras to model the behaviour of systems, and modal logics to specify behavi...
186
click to vote
WIDM
2004
ACM
15 years 9 months ago
2004
ACM
A Focused crawler must use information gleaned from previously crawled page sequences to estimate the relevance of a newly seen URL. Therefore, good performance depends on powerfu...