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» Oblique Support Vector Machines
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JMLR
2012
11 years 11 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
14 years 21 days ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
AI
2011
Springer
13 years 13 days ago
Using a Heterogeneous Dataset for Emotion Analysis in Text
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...
Soumaya Chaffar, Diana Inkpen
ESANN
2001
13 years 10 months ago
Intelligent hardware for identification and control of non-linear systems with SVM
Support Vector Machines are gaining more and more acceptance thanks to their success in many real
Andrea Boni, Fabio Bardi
ICML
2010
IEEE
13 years 10 months ago
One-sided Support Vector Regression for Multiclass Cost-sensitive Classification
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
Han-Hsing Tu, Hsuan-Tien Lin