373 search results - page 10 / 75 » Learning Probabilistic Relational Dynamics for Multiple Task... |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
PASTE
2010
ACM
14 years 24 days ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
JAIR
2006
13 years 7 months ago
2006
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...