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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
CGF
1999
153views more  CGF 1999»
15 years 6 months ago
Comprehensive Halftoning of 3D Scenes
The display of images on binary output hardware requires a halftoning step. Conventional halftoning algorithms approximate image values independently from the image content and of...
Oleg Veryovka, John W. Buchanan
JMLR
2002
106views more  JMLR 2002»
15 years 6 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
JUCS
2002
119views more  JUCS 2002»
15 years 6 months ago
Error-Correction, and Finite-Delay Decodability
: When the words of a language are communicated via a noisy channel, the language property of error-detection ensures that no word of the language can be transformed to another wor...
Stavros Konstantinidis
189
Voted
ML
2002
ACM
127views Machine Learning» more  ML 2002»
15 years 6 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
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