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NIPS
1998
15 years 2 months ago
Shrinking the Tube: A New Support Vector Regression Algorithm
A new algorithm for Support Vector regression is described. For a priori chosen , it automatically adjusts a flexible tube of minimal radius to the data such that at most a fracti...
Bernhard Schölkopf, Peter L. Bartlett, Alex J...
SPAA
2000
ACM
15 years 5 months ago
Algorithmic foundations for a parallel vector access memory system
This paper presents mathematical foundations for the design of a memory controller subcomponent that helps to bridge the processor/memory performance gap for applications with str...
Binu K. Mathew, Sally A. McKee, John B. Carter, Al...
TOC
2008
94views more  TOC 2008»
15 years 1 months ago
Optimal lower bounds for the Korkine-Zolotareff parameters of a lattice and for Schnorr's algorithm for the shortest vector prob
Abstract: Schnorr's algorithm for finding an approximation for the shortest nonzero vector in an n-dimensional lattice depends on a parameter k. He proved that for a fixed k ...
Miklós Ajtai
JSC
2002
61views more  JSC 2002»
15 years 29 days ago
Subquadratic Computation of Vector Generating Polynomials and Improvement of the Block Wiedemann Algorithm
This paper describes a new algorithm for computing linear generators (vector generating polynomials) for matrix sequences, running in subquadratic time. This algorithm applies in ...
Emmanuel Thomé
ICC
2007
IEEE
126views Communications» more  ICC 2007»
15 years 7 months ago
A New Initial Codebook Algorithm for Learning Vector Quantization
—In this paper, a new sorting initial codebook algorithm for learning vector quantization (LVQ) based upon selforganizing feature maps (SOM) has been proposed. The basic idea is ...
Hongsong Li, Baohua Xu