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» Predicting Time Series with Support Vector Machines
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154
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CASES
2005
ACM
15 years 5 months ago
An Esterel processor with full preemption support and its worst case reaction time analysis
The concurrent synchronous language Esterel allows proto treat reactive systems in an abstract, concise manner. An Esterel program is typically first translated into other, non-s...
Xin Li, Jan Lukoschus, Marian Boldt, Michael Harde...
118
Voted
INFOCOM
2005
IEEE
15 years 9 months ago
Predicting Internet end-to-end delay: a multiple-model approach
This paper presents a novel approach to predict the Internet end-to-end delay using multiple-model (MM) methods. The basic idea of the MM method is to assume the system dynamics c...
Ming Yang, Jifeng Ru, X. Rong Li, Huimin Chen, Anw...
124
Voted
KDD
1995
ACM
139views Data Mining» more  KDD 1995»
15 years 7 months ago
Extracting Support Data for a Given Task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
Bernhard Schölkopf, Chris Burges, Vladimir Va...
ICML
2008
IEEE
16 years 4 months ago
A distance model for rhythms
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
Douglas Eck, Jean-François Paiement, Samy B...
159
Voted
CIBCB
2009
IEEE
15 years 4 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...