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» Decision Making Using Probabilistic Inference Methods
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DSN
2009
IEEE
15 years 1 months ago
Precise request tracing and performance debugging for multi-tier services of black boxes
As more and more multi-tier services are developed from commercial components or heterogeneous middleware without the source code available, both developers and administrators nee...
Zhihong Zhang, Jianfeng Zhan, Yong Li, Lei Wang, D...
NIPS
2004
14 years 11 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
MOC
2002
131views more  MOC 2002»
14 years 9 months ago
Some baby-step giant-step algorithms for the low hamming weight discrete logarithm problem
In this paper, we present several baby-step giant-step algorithms for the low hamming weight discrete logarithm problem. In this version of the discrete log problem, we are require...
Douglas R. Stinson
ISNN
2007
Springer
15 years 4 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
CC
1998
Springer
100views System Software» more  CC 1998»
14 years 9 months ago
Symmetric Alternation Captures BPP
We introduce the natural class SP 2 containing those languages which may be expressed in terms of two symmetric quanti ers. This class lies between P 2 and P 2 P 2 and naturall...
Alexander Russell, Ravi Sundaram