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» A selective sampling approach to active feature selection
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ICML
2010
IEEE
13 years 8 months ago
Causal filter selection in microarray data
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
Gianluca Bontempi, Patrick Emmanuel Meyer
NIPS
2007
13 years 9 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
EDBT
2009
ACM
110views Database» more  EDBT 2009»
14 years 10 days ago
A sampling approach for XML query selectivity estimation
As the Extensible Markup Language (XML) rapidly establishes itself as the de facto standard for presenting, storing, and exchanging data on the Internet, large volume of XML data ...
Cheng Luo, Zhewei Jiang, Wen-Chi Hou, Feng Yu, Qia...
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
14 years 19 days ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...