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» Feature selection with nonparametric statistics
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BMCBI
2007
114views more  BMCBI 2007»
13 years 10 months ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...
ANOR
2007
92views more  ANOR 2007»
13 years 10 months ago
Portfolio selection with probabilistic utility
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
Robert Marschinski, Pietro Rossi, Massimo Tavoni, ...
MICRO
2002
IEEE
164views Hardware» more  MICRO 2002»
14 years 2 months ago
A quantitative framework for automated pre-execution thread selection
Pre-execution attacks cache misses for which conventional address-prediction driven prefetching is ineffective. In pre-execution, copies of cache miss computations are isolated fr...
Amir Roth, Gurindar S. Sohi
ICASSP
2008
IEEE
14 years 4 months ago
Detecting mild cognitive loss with continuous monitoring of medication adherence
This paper describes an approach for detecting early cognitive loss using medication adherence behavior. We investigate the discriminative power of a comprehensive set of recurren...
Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd...
ICCV
2003
IEEE
14 years 11 months ago
Regression based Bandwidth Selection for Segmentation using Parzen Windows
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...
Maneesh Kumar Singh, Narendra Ahuja