Sciweavers

1566 search results - page 187 / 314
» Planning and learning together
Sort
View
JAIR
2008
148views more  JAIR 2008»
15 years 6 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
ICS
2005
Tsinghua U.
16 years 1 days ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
ICWE
2003
Springer
15 years 11 months ago
Semi-automatic Assessment Process in a Ubiquitous Environment for Language Learning
This work presents a research on the methods and mechanisms necessary to bring the Information and Communication Technologies in the traditional classroom. This will be achieved by...
Maximiliano Paredes, Manuel Ortega, Pedro P. S&aac...
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
16 years 8 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
IBPRIA
2009
Springer
15 years 11 months ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...