311 search results - page 5 / 63 » Learning first-order probabilistic models with combining rul... |
IJKESDP
2010
13 years 7 months ago
2010
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent ...
JAIR
2007
13 years 9 months ago
2007
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
IROS
2008
IEEE
14 years 4 months ago
2008
IEEE
— This paper presents a method to recognize and generate sequential motions for object manipulation such as placing one object on another or rotating it. Motions are learned usin...
ML
2006
ACM
13 years 9 months ago
2006
ACM
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
SIGIR
2002
ACM
13 years 9 months ago
2002
ACM
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifie...