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» Bayesian Parameter Estimation: A Monte Carlo Approach
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ICML
2008
IEEE
14 years 8 months ago
Strategy evaluation in extensive games with importance sampling
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...
ICMCS
2006
IEEE
107views Multimedia» more  ICMCS 2006»
14 years 1 months ago
On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains
Blind multiplicative watermarking schemes for speech signals using wavelets and discrete cosine transform are presented. Watermarked signals are modeled using a generalized Gaussi...
Ramin Eslami, John Deller, Hayder Radha
PAMI
2010
124views more  PAMI 2010»
13 years 2 months ago
Structural Approach for Building Reconstruction from a Single DSM
We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a li...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...
CCE
2004
13 years 7 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
JMLR
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...