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» Predicting Time Series with Support Vector Machines
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143
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CBMS
2007
IEEE
15 years 10 months ago
Text Categorization for Multi-label Documents and Many Categories
In this paper, we propose a new classification method that addresses classification in multiple categories of textual documents. We call it Matrix Regression (MR) due to its resem...
Iulian Sandu Popa, Karine Zeitouni, Georges Gardar...
110
Voted
CSB
2005
IEEE
141views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments
A methodology has been implemented for analyzing microarray and NMR spectral data obtained from the same set of toxic-exposure dose-response experiments. The NMR spectra additiona...
Gary L. Jahns, Nicholas J. DelRaso, Mark P. Westri...
111
Voted
JCP
2006
102views more  JCP 2006»
15 years 3 months ago
Efficient Formulations for 1-SVM and their Application to Recommendation Tasks
The present paper proposes new approaches for recommendation tasks based on one-class support vector machines (1-SVMs) with graph kernels generated from a Laplacian matrix. We intr...
Yasutoshi Yajima, Tien-Fang Kuo
124
Voted
NECO
2008
112views more  NECO 2008»
15 years 3 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
126
Voted
BMCBI
2008
122views more  BMCBI 2008»
15 years 3 months ago
ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins
Background: The expansion of raw protein sequence databases in the post genomic era and availability of fresh annotated sequences for major localizations particularly motivated us...
Aarti Garg, Gajendra P. S. Raghava