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» On Bayesian model and variable selection using MCMC
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107
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CBMS
2001
IEEE
15 years 5 months ago
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Ga...
AI
1998
Springer
15 years 1 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
TSMC
2010
14 years 8 months ago
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study
Abstract--We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i....
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scot...
AAAI
2010
15 years 3 months ago
Collaborative Expert Portfolio Management
We consider the task of assigning experts from a portfolio of specialists in order to solve a set of tasks. We apply a Bayesian model which combines collaborative filtering with a...
David H. Stern, Horst Samulowitz, Ralf Herbrich, T...
132
Voted
BMCBI
2007
158views more  BMCBI 2007»
15 years 2 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...