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» Approximate Expectation Maximization
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AI
1999
Springer
14 years 11 months ago
Using Grice's maxim of Quantity to select the content of plan descriptions
Intelligent systems are often called upon to form plans that direct their own or other agents' activities. For these systems, the ability to describe plans to people in natur...
R. Michael Young
FS
2011
95views more  FS 2011»
14 years 6 months ago
A note on the existence of the power investor's optimizer
[KLSX91] ensure the existence of the expected utility maximizer for investors with constant relative risk aversion coefficients less than one. In this note, we explain a simple tr...
Kasper Larsen
CORR
2010
Springer
157views Education» more  CORR 2010»
14 years 9 months ago
Stochastic Budget Optimization in Internet Advertising
Internet advertising is a sophisticated game in which the many advertisers "play" to optimize their return on investment. There are many "targets" for the adve...
Bhaskar DasGupta, S. Muthukrishnan
ACST
2006
15 years 22 days ago
Experimental study of hybrid-type distributed maximal constraint satisfaction algorithm
A constraint satisfaction problem (CSP) is a general framework that can formalize various application problems in artificial intelligence. However, practical real-world problems t...
Masato Noto, Masahito Kurihara
IPPS
2003
IEEE
15 years 4 months ago
The Maximal Utilization of Processor Co-Allocation in Multicluster Systems
In systems consisting of multiple clusters of processors which employ space sharing for scheduling jobs, such as our Distributed ASCI1 Supercomputer (DAS), coallocation, i.e., the...
Anca I. D. Bucur, Dick H. J. Epema