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204
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JMLR
2006
150views more  JMLR 2006»
15 years 7 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
194
Voted
JNW
2006
111views more  JNW 2006»
15 years 7 months ago
A Novel AP for Improving the Performance of Wireless LANs Supporting VoIP
Recently, wireless LANs based on the IEEE 802.11 standard have become popular and widely used, and Voice-over-IP (VoIP) is one of the most promising technologies to be used in mobi...
Thavisak Manodham, Tetsuya Miki
CN
2002
109views more  CN 2002»
15 years 6 months ago
A network infrastructure for IP mobility support in metropolitan areas
The original design of the Internet and its underlying protocols did not anticipate users to be mobile. With the growing interest in supporting mobile users and mobile computing, ...
Cristina Hristea, Fouad A. Tobagi
DATAMINE
1998
145views more  DATAMINE 1998»
15 years 6 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
189
Voted
NECO
1998
83views more  NECO 1998»
15 years 6 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri