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SLSFS
2005
Springer
15 years 10 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum
IRAL
2003
ACM
15 years 9 months ago
Feature selection in categorizing procedural expressions
Text categorization, as an essential component of applications for user navigation on the World Wide Web using QuestionAnswering in Japanese, requires more effective features for ...
Mineki Takechi, Takenobu Tokunaga, Yuji Matsumoto,...
ICML
2008
IEEE
16 years 5 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
VLDB
2002
ACM
126views Database» more  VLDB 2002»
15 years 4 months ago
Plan Selection Based on Query Clustering
Query optimization is a computationally intensive process, especially for complex queries. We present here a tool, called PLASTIC, that can be used by query optimizers to amortize...
Antara Ghosh, Jignashu Parikh, Vibhuti S. Sengar, ...
FUZZIEEE
2007
IEEE
15 years 11 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen