175 search results - page 25 / 35 » Learning Continuous Time Bayesian Networks |
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
IUI
2004
ACM
14 years 1 months ago
2004
ACM
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
CIBCB
2008
IEEE
14 years 2 months ago
2008
IEEE
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...