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TSP
2010
14 years 11 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
WSC
2004
15 years 5 months ago
Controlling Over-Optimism in Time-Warp Via CPU-Based Flow Control
In standard optimistic parallel event simulation, no restriction exists on the maximum lag in simulation time between the fastest and slowest logical processes (LPs). Overoptimist...
Vinay Sachdev, Maria Hybinette, Eileen Kraemer
WSC
1997
15 years 5 months ago
Arena Software Tutorial
The Arena modeling system from Systems Modeling Corporation is a flexible and powerful tool that allows analysts to create animated simulation models that accurately represent vir...
David A. Takus, David M. Profozich
AI
1998
Springer
15 years 4 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
DAGM
2007
Springer
15 years 10 months ago
Selection of Local Optical Flow Models by Means of Residual Analysis
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
Björn Andres, Fred A. Hamprecht, Christoph S....