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BMCBI
2007
147views more  BMCBI 2007»
15 years 6 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
BMCBI
2005
131views more  BMCBI 2005»
15 years 6 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
TVLSI
2008
108views more  TVLSI 2008»
15 years 6 months ago
Unified Convolutional/Turbo Decoder Design Using Tile-Based Timing Analysis of VA/MAP Kernel
To satisfy the advanced forward-error-correction (FEC) standards, in which the Convolutional code and Turbo code may co-exit, a prototype design of a unified Convolutional/Turbo de...
Fan-Min Li, Cheng-Hung Lin, An-Yeu Wu
BMCBI
2004
117views more  BMCBI 2004»
15 years 6 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
CORR
2004
Springer
177views Education» more  CORR 2004»
15 years 6 months ago
Typestate Checking and Regular Graph Constraints
We introduce regular graph constraints and explore their decidability properties. The motivation for regular graph constraints is 1) type checking of changing types of objects in ...
Viktor Kuncak, Martin C. Rinard
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