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» Controlled Physical Random Functions
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SMA
2003
ACM
154views Solid Modeling» more  SMA 2003»
15 years 5 months ago
Discretization of functionally based heterogeneous objects
The presented approach to discretization of functionally defined heterogeneous objects is oriented towards applications associated with numerical simulation procedures, for exampl...
Elena Kartasheva, Valery Adzhiev, Alexander A. Pas...
88
Voted
AAAI
2008
15 years 2 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
ISPA
2004
Springer
15 years 5 months ago
A Scalable Low Discrepancy Point Generator for Parallel Computing
The Monte Carlo (MC) method is a simple but effective way to perform simulations involving complicated or multivariate functions. The QuasiMonte Carlo (QMC) method is similar but...
Kwong-Ip Liu, Fred J. Hickernell
JMLR
2011
175views more  JMLR 2011»
14 years 7 months ago
Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data
This review focuses on dynamic causal analysis of functional magnetic resonance (fMRI) data to infer brain connectivity from a time series analysis and dynamical systems perspecti...
Alard Roebroeck, Anil K. Seth, Pedro A. Valdes-Sos...
109
Voted
VTC
2010
IEEE
157views Communications» more  VTC 2010»
14 years 10 months ago
Cross-Layer Solutions for Cooperative Medium Access Control Protocols
— Recent studies have shown that designing a Medium Access Control (MAC) protocol combined with a cooperative approach may improve the attainable network throughput, despite redu...
Alessandro Crismani, Fulvio Babich, Lajos Hanzo