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PAMI
2002
136views more  PAMI 2002»
13 years 9 months ago
Unsupervised Feature Selection Using Feature Similarity
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
JMLR
2011
192views more  JMLR 2011»
13 years 5 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 11 months ago
Class Selection Avoiding Key-like Property for Better Precise Rules
When we want to select a class attribute among several choices, we suggest to using a method that is based on the overall correctness of a generating rule set as well as the number...
Hyontai Sug
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
14 years 3 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
ICDT
2001
ACM
86views Database» more  ICDT 2001»
14 years 2 months ago
Minimizing View Sets without Losing Query-Answering Power
Abstract. The problem of answering queries using views has been studied extensively due to its relevance in a wide variety of data-management applications. In these applications, w...
Chen Li, Mayank Bawa, Jeffrey D. Ullman