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FTML
2008
185views more  FTML 2008»
15 years 7 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
BMCBI
2006
82views more  BMCBI 2006»
15 years 7 months ago
A method for computing the overall statistical significance of a treatment effect among a group of genes
Background: In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be ...
Robert R. Delongchamp, Taewon Lee, Cruz Velasco
BMCBI
2006
132views more  BMCBI 2006»
15 years 7 months ago
Comprehensive quality control utilizing the prehybridization third-dye image leads to accurate gene expression measurements by c
Background: Gene expression profiling using microarrays has become an important genetic tool. Spotted arrays prepared in academic labs have the advantage of low cost and high desi...
Xujing Wang, Shuang Jia, Lisa Meyer, Bixia Xiang, ...
COGSCI
2006
127views more  COGSCI 2006»
15 years 7 months ago
Decision Making and Confidence Given Uncertain Advice
We study human decision making in a simple forced-choice task that manipulates the frequency and accuracy of available information. Empirically, we find that people make decisions...
Michael D. Lee, Matthew J. Dry
CVIU
2006
160views more  CVIU 2006»
15 years 7 months ago
Automatic selection of edge detector parameters based on spatial and statistical measures
The basic and widely used edge detection operation in an image usually requires a prior step of setting the edge detector parameters (thresholds, blurring extent etc.). Finding th...
Raz Koren, Yitzhak Yitzhaky