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» Do Agile Methods Marginalize Problem Solvers
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TVCG
2011
175views more  TVCG 2011»
13 years 2 months ago
Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping
—This paper presents a fast parallel method to solve the radiative transport equation in inhomogeneous participating media. We apply a novel approximation scheme to find a good ...
László Szirmay-Kalos, Gabor Liktor, ...
ICML
2009
IEEE
14 years 8 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
BMCBI
2006
88views more  BMCBI 2006»
13 years 7 months ago
A two-sample Bayesian t-test for microarray data
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
Richard J. Fox, Matthew W. Dimmic
ALMOB
2006
155views more  ALMOB 2006»
13 years 7 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
ICML
2004
IEEE
14 years 8 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...