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» Combinatory Models and Symbolic Computation
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BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
AMCS
2008
146views Mathematics» more  AMCS 2008»
14 years 10 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
ICST
2010
IEEE
14 years 8 months ago
Automated and Scalable T-wise Test Case Generation Strategies for Software Product Lines
Abstract—Software Product Lines (SPL) are difficult to validate due to combinatorics induced by variability across their features. This leads to combinatorial explosion of the n...
Gilles Perrouin, Sagar Sen, Jacques Klein, Benoit ...
ICPR
2010
IEEE
15 years 3 months ago
Motif Discovery and Feature Selection for CRF-Based Activity Recognition
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
Liyue Zhao, Xi Wang, Gita Sukthankar
MOBIHOC
2007
ACM
15 years 9 months ago
Complexity in geometric SINR
In this paper we study the problem of scheduling wireless links in the geometric SINR model, which explicitly uses the fact that nodes are distributed in the Euclidean plane. We p...
Olga Goussevskaia, Yvonne Anne Oswald, Roger Watte...