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IEEEMM
2007
146views more  IEEEMM 2007»
15 years 4 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
LCPC
2001
Springer
15 years 8 months ago
Probabilistic Points-to Analysis
Information gathered by the existing pointer analysis techniques can be classified as must aliases or definitely-points-to relationships, which hold for all executions, and may a...
Yuan-Shin Hwang, Peng-Sheng Chen, Jenq Kuen Lee, R...
ATVA
2007
Springer
136views Hardware» more  ATVA 2007»
15 years 10 months ago
Symbolic Fault Tree Analysis for Reactive Systems
Fault tree analysis is a traditional and well-established technique for analyzing system design and robustness. Its purpose is to identify sets of basic events, called cut sets, wh...
Marco Bozzano, Alessandro Cimatti, Francesco Tappa...
ESEC
1997
Springer
15 years 8 months ago
Verification of Liveness Properties Using Compositional Reachability Analysis
The software architecture of a distributed program can be represented by a hierarchical composition of subsystems, with interacting processes at the leaves of the hierarchy. Compo...
Shing-Chi Cheung, Dimitra Giannakopoulou, Jeff Kra...
ICML
2006
IEEE
16 years 5 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade