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UAI
1997
15 years 7 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
147
Voted
IJCAI
1993
15 years 7 months ago
Provably Bounded Optimal Agents
Since its inception, arti cial intelligence has relied upon a theoretical foundation centred around perfect rationality as the desired property of intelligent systems. We argue, a...
Stuart J. Russell, Devika Subramanian, Ronald Parr
IJCAI
1989
15 years 7 months ago
Recognizing Unnecessary Inference
Intelligent reasoners sometimes draw conclusions that lack new or relevant information. Similarly, automated reasoning systems can produce formulas that are not necessary for the ...
Dan Benanav
CONEXT
2009
ACM
15 years 7 months ago
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...
167
Voted
AIPS
2010
15 years 6 months ago
The Scanalyzer Domain: Greenhouse Logistics as a Planning Problem
We introduce the Scanalyzer planning domain, a domain for classical planning which models the problem of automatic greenhouse logistic management. At its mathematical core, the Sc...
Malte Helmert, Hauke Lasinger
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