NDLI: C2FS: An Algorithm for Feature Selection in Cascade Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Backstrom, L. Caruana, R.
Copyright Year	2006
Description	Author affiliation: Computer Science, Cornell University, lb87@cornell.edu (Backstrom, L.)
Abstract	Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper methods are prohibitively expensive to use with neural nets. We present an internal wrapper feature selection method for Cascade Correlation (C2) nets called C2FS that is 2-3 orders of magnitude faster than external wrapper feature selection. This new internal wrapper feature selection method selects features at the same time hidden units are being added to the growing C2 net architecture. Experiments with five test problems show that C2FS feature selection usually improves accuracy and squared error while dramatically reducing the number of features needed for good performance. Comparison to feature selection via an information theoretic ordering on features (gain ratio) shows that C2FS usually yields better performance and always uses substantially fewer features.
Starting Page	4748
Ending Page	4753
File Size	482717
Page Count	6
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.247130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Neural networks Learning systems Artificial neural networks Computer science Testing Concurrent computing Optimization methods Performance gain Workstations
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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