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UAI
2000
15 years 1 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
NIPS
2000
15 years 1 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
14 years 11 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
EJWCN
2010
229views more  EJWCN 2010»
14 years 7 months ago
Throughput-Efficient Dynamic Coalition Formation in Distributed Cognitive Radio Networks
We formulate the problem of distributed throughput-efficient sensing in cognitive radio (CR) networks as a dynamic coalition formation game based on a Markovian model. The propose...
Zaheer Khan, Janne J. Lehtomäki, Marian Codre...
DAC
2006
ACM
16 years 1 months ago
Statistical logic cell delay analysis using a current-based model
A statistical model for the purpose of logic cell timing analysis in the presence of process variations is presented. A new current-based cell delay model is utilized, which can a...
Hanif Fatemi, Shahin Nazarian, Massoud Pedram