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» Convexity in Discrete Space
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ICML
2007
IEEE
14 years 10 months ago
Direct convex relaxations of sparse SVM
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanck...
SC
1995
ACM
14 years 1 months ago
A Performance Evaluation of the Convex SPP-1000 Scalable Shared Memory Parallel Computer
The Convex SPP-1000 is the first commercial implementation of a new generation of scalable shared memory parallel computers with full cache coherence. It employs a hierarchical s...
Thomas L. Sterling, Daniel Savarese, Peter MacNeic...
AAAI
2006
13 years 11 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
NIPS
2003
13 years 11 months ago
Convex Methods for Transduction
The 2-class transduction problem, as formulated by Vapnik [1], involves finding a separating hyperplane for a labelled data set that is also maximally distant from a given set of...
Tijl De Bie, Nello Cristianini
JMLR
2006
150views more  JMLR 2006»
13 years 10 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