703 search results - page 51 / 141 » Predicting Time Series with Support Vector Machines |
136
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KDD
2006
ACM
16 years 3 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
119
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NIPS
2007
15 years 5 months ago
2007
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
144
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ECLIPSE
2007
ACM
15 years 7 months ago
2007
ACM
We present a tool that predicts whether the software under development inside an IDE has a bug. An IDE plugin performs this prediction, using the Change Classification technique t...
145
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
141
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AIED
2011
Springer
14 years 7 months ago
2011
Springer
Narrative-centered learning environments introduce novel opportunities for supporting student problem solving and learning. By incorporating cognitive tools into plots and characte...