514 search results - page 24 / 103 » Interval discriminant analysis using support vector machines |
134
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
142
Voted
RECOMB
2005
Springer
16 years 4 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
143
Voted
NN
2008
Springer
15 years 3 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
171
Voted
AI
2011
Springer
14 years 7 months ago
2011
Springer
In this paper, we adopt a supervised machine learning approach to recognize six basic emotions (anger, disgust, fear, happiness, sadness and surprise) using a heterogeneous emotion...
138
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JMLR
2011
14 years 10 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...