509 search results - page 45 / 102 » Using Learning for Approximation in Stochastic Processes |
132
Voted
PLDI
2010
ACM
15 years 7 months ago
2010
ACM
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
250
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AMC
2011
14 years 6 months ago
2011
The present paper studies the probability of ruin of an insurer, if excess of loss reinsurance with reinstatements is applied. In the setting of the classical CramerLundberg risk ...
123
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QRE
2010
2010
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
15 years 26 days ago
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
123
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CORR
2002
Springer
15 years 2 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
124
Voted
CJ
1998
15 years 2 months ago
1998
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not...