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ICASSP
2007
IEEE
14 years 1 months ago
Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...
Roger Pique-Regi, En-Shuo Tsau, Antonio Ortega, Ro...
UAI
2004
13 years 9 months ago
Monotonicity in Bayesian Networks
For many real-life Bayesian networks, common knowledge dictates that the output established for the main variable of interest increases with higher values for the observable varia...
Linda C. van der Gaag, Hans L. Bodlaender, A. J. F...
WCE
2007
13 years 8 months ago
Information Fusion for Hazard Analysis in Multi-Sensor Systems based on Bayesian Networks
—Modern sliding table saws are equipped with several passive safety devices. However, alone in Germany several hundred severe injuries or limb amputations occur each year due dis...
Jörg Barrho, Johannes Hauger, Uwe Kiencke
CSDA
2008
77views more  CSDA 2008»
13 years 7 months ago
Maximizing equity market sector predictability in a Bayesian time-varying parameter model
A large body of evidence has emerged in recent studies confirming that macroeconomic factors play an important role in determining investor risk premia and the ultimate path of eq...
Lorne D. Johnson, Georgios Sakoulis
ML
2002
ACM
135views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Treed Models
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
Hugh A. Chipman, Edward I. George, Robert E. McCul...