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» Geometric SVM: A Fast and Intuitive SVM Algorithm
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NIPS
2008
13 years 8 months ago
On the Generalization Ability of Online Strongly Convex Programming Algorithms
This paper examines the generalization properties of online convex programming algorithms when the loss function is Lipschitz and strongly convex. Our main result is a sharp bound...
Sham M. Kakade, Ambuj Tewari
DSD
2004
IEEE
106views Hardware» more  DSD 2004»
13 years 11 months ago
Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems
In this paper we present an analysis of the minimal hardware precision required to implement Support Vector Machine (SVM) classification within a Logarithmic Number System archite...
Faisal M. Khan, Mark G. Arnold, William M. Potteng...
ICPR
2010
IEEE
13 years 9 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
ACL
2011
12 years 11 months ago
Contrasting Opposing Views of News Articles on Contentious Issues
We present disputant relation-based method for classifying news articles on contentious issues. We observe that the disputants of a contention are an important feature for underst...
Souneil Park, Kyung Soon Lee, Junehwa Song
NIPS
2000
13 years 8 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile