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» Oblique Support Vector Machines
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JMLR
2012
13 years 1 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»
15 years 3 months 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
14 years 2 months 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
15 years 19 days 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
15 years 9 days 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