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» Approximating Markov Processes by Averaging
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EDUTAINMENT
2007
Springer
15 years 8 months ago
Method of Motion Data Processing Based on Manifold Learning
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
Fengxia Li, Tianyu Huang, Lijie Li
GLOBECOM
2006
IEEE
15 years 8 months ago
Optimal Routing Between Alternate Paths With Different Network Transit Delays
— We consider the path-determination problem in Internet core routers that distribute flows across alternate paths leading to the same destination. We assume that the remainder ...
Essia Hamouda Elhafsi, Mart Molle
IJCAI
1993
15 years 3 months ago
Second Order Measures for Uncertainty Processing
Uncertainty processing methods are analysed from the viewpoint of their sensitivity to small variations of certainty factors. The analysis makes use of the algebraic theory which ...
Zdenek Zdráhal
DAC
2005
ACM
16 years 2 months ago
Full-chip analysis of leakage power under process variations, including spatial correlations
In this paper, we present a method for analyzing the leakage current, and hence the leakage power, of a circuit under process parameter variations that can include spatial correla...
Hongliang Chang, Sachin S. Sapatnekar
AIPS
2006
15 years 3 months ago
Solving Factored MDPs with Exponential-Family Transition Models
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht