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» Feature Generation Using General Constructor Functions
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IJCNN
2008
IEEE
15 years 8 months ago
Feature selection based on kernel discriminant analysis for multi-class problems
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Tsuneyoshi Ishii, Shigeo Abe
104
Voted
ICML
2007
IEEE
16 years 3 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
POPL
2000
ACM
15 years 5 months ago
Modular Refinement of Hierarchic Reactive Machines
with existing analysis tools. Modular reasoning principles such as abstraction, compositional refinement, and assume-guarantee reasoning are well understood for architectural hiera...
Rajeev Alur, Radu Grosu
ECCC
2010
82views more  ECCC 2010»
15 years 2 months ago
Pseudorandom Generators for Combinatorial Checkerboards
We define a combinatorial checkerboard to be a function f : {1, . . . , m}d {1, -1} of the form f(u1, . . . , ud) = d i=1 fi(ui) for some functions fi : {1, . . . , m} {1, -1}. T...
Thomas Watson
97
Voted
WWW
2008
ACM
16 years 2 months ago
Generating diverse and representative image search results for landmarks
Can we leverage the community-contributed collections of rich media on the web to automatically generate representative and diverse views of the world's landmarks? We use a c...
Lyndon S. Kennedy, Mor Naaman