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» Stochastic complexity in learning
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2000
ACM
13 years 12 months ago
Scalable Algorithms for Adaptive Statistical Designs
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
GIS
2009
ACM
13 years 11 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
CCE
2005
13 years 7 months ago
Numerical simulation of stochastic gene circuits
Armed with increasingly fast supercomputers and greater knowledge of the molecular mechanisms of gene expression, it is now practical to numerically simulate complex networks of r...
Howard Salis, Yiannis N. Kaznessis
CEC
2007
IEEE
14 years 2 months ago
On the analysis of average time complexity of estimation of distribution algorithms
— Estimation of Distribution Algorithm (EDA) is a well-known stochastic optimization technique. The average time complexity is a crucial criterion that measures the performance o...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
JMLR
2010
152views more  JMLR 2010»
13 years 2 months ago
Stochastic Composite Likelihood
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
Joshua V. Dillon, Guy Lebanon