Support Vector Machines: Hype or Hallelujah?

Support Vector Machines: Hype or Hallelujah? (2003)

by Kristin P. Bennett , Colin Campbell

Venue:	SIGKDD Explorations
Citations:	65 - 0 self

User correction supplied by SystemCorrections

Datum	Value	Source
TITLE	Support Vector Machines: Hype or Hallelujah?	user correction - Legacy Corrections
AUTHOR NAME	Kristin P. Bennett	user correction - Legacy Corrections
AUTHOR AFFIL	Math Sciences Department; Rensselaer Polytechnic Institute	user correction - Legacy Corrections
AUTHOR ADDR	Troy, NY 12180	user correction - Legacy Corrections
AUTHOR NAME	Colin Campbell	user correction - Legacy Corrections
ABSTRACT	Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. The goal of this tutorial is to provide an intuitive explanation of SVMs from a geometric perspective. The classification problem is used to investigate the basic concepts behind SVMs and to examine their strengths and weaknesses from a data mining perspective. While this overview is not comprehensive, it does provide resources for those interested in further exploring SVMs.	SVM HeaderParse 0.1
YEAR	2003	user correction - Legacy Corrections
VENUE	SIGKDD Explorations	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	2000	INFERENCE
VOLUME	2	INFERENCE
CITATIONS	59 found	ParsCit 1.0