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» Prediction on Spike Data Using Kernel Algorithms
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ICML
2010
IEEE
14 years 10 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
WWW
2003
ACM
15 years 10 months ago
Predicting the Upper Bound of Web Traffic Volume Using a Multiple Time Scale Approach
This paper presents a prediction algorithm for estimating the upper bound of future Web traffic volume. Unlike traditional traffic predictions that are performed at a single time ...
Weibin Zhao, Henning Schulzrinne
JBCB
2010
138views more  JBCB 2010»
14 years 4 months ago
Hierarchical Classification of Gene Ontology Terms Using the Gostruct Method
Protein function prediction is an active area of research in bioinformatics. And yet, transfer of annotation on the basis of sequence or structural similarity remains widely used ...
Artem Sokolov, Asa Ben-Hur
ECML
2004
Springer
15 years 3 months ago
Using String Kernels to Identify Famous Performers from Their Playing Style
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
Craig Saunders, David R. Hardoon, John Shawe-Taylo...
TSMC
2010
14 years 4 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris