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GRAPHICSINTERFACE
2003
14 years 11 months ago
Entropy-based Adaptive Sampling
Ray tracing techniques need supersampling to reduce aliasing and/or noise in the final image. Since not all the pixels in the image require the same number of rays, supersampling...
Jaume Rigau, Miquel Feixas, Mateu Sbert
ECAI
2004
Springer
15 years 3 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...
WSC
2004
14 years 11 months ago
An Importance Sampling Method for Portfolios of Credit Risky Assets
The distribution of possible future losses for a portfolio of credit risky corporate assets, such as bonds or loans, shows strongly asymmetric behavior and a fat tail as the conse...
William J. Morokoff
JCB
2007
145views more  JCB 2007»
14 years 9 months ago
Confounding Factors in HGT Detection: Statistical Error, Coalescent Effects, and Multiple Solutions
Prokaryotic organisms share genetic material across species boundaries by means of a process known as horizontal gene transfer (HGT). This process has great significance for unde...
Cuong Than, Derek A. Ruths, Hideki Innan, Luay Nak...
ICCBR
2003
Springer
15 years 3 months ago
Index Driven Selective Sampling for CBR
In real environments it is often difficult to obtain a collection of cases for the case base that would cover all the problem solving situations. Although it is often somewhat eas...
Nirmalie Wiratunga, Susan Craw, Stewart Massie