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ISNN
2005
Springer
16 years 1 days ago
Non-parametric Statistical Tests for Informative Gene Selection
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...
Jinwen Ma, Fuhai Li, Jianfeng Liu
ATS
2003
IEEE
93views Hardware» more  ATS 2003»
15 years 12 months ago
Optimal System-on-Chip Test Scheduling
1 In this paper, we show that the scheduling of tests on the test access mechanism (TAM) is equivalent to independent job scheduling on identical machines and we make use of an exi...
Erik Larsson, Hideo Fujiwara
SIGIR
2009
ACM
15 years 11 months ago
Evaluating effects of machine translation accuracy on cross-lingual patent retrieval
We organized a machine translation (MT) task at the Seventh NTCIR Workshop. Participating groups were requested to machine translate sentences in patent documents and also search ...
Atsushi Fujii, Masao Utiyama, Mikio Yamamoto, Take...
ICML
1998
IEEE
16 years 7 months ago
Feature Selection via Concave Minimization and Support Vector Machines
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
Paul S. Bradley, Olvi L. Mangasarian
ICANN
2009
Springer
16 years 1 months ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier