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117
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ESANN
2007
15 years 5 months ago
Model Selection for Kernel Probit Regression
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Gavin C. Cawley
121
Voted
ESANN
2008
15 years 5 months ago
Multi-class classification of ovarian tumors
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
ROMAN
2007
IEEE
176views Robotics» more  ROMAN 2007»
15 years 9 months ago
Action Recognition and Understanding using Motor Primitives
— We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative suppor...
Ville Kyrki, Isabel Serrano Vicente, Danica Kragic...
134
Voted
HIS
2001
15 years 5 months ago
Use of Multi-category Proximal SVM for Data Set Reduction
In this paper we describe a method for data set reduction by effective use of Multi-category Proximal Support Vector Machine (MPSVM). By using the Linear MPSVM Formulation in an it...
S. V. N. Vishwanathan, M. Narasimha Murty
ICASSP
2010
IEEE
15 years 3 months ago
Multi-class SVM optimization using MCE training with application to topic identification
This paper presents a minimum classification error (MCE) training approach for improving the accuracy of multi-class support vector machine (SVM) classifiers. We have applied th...
Timothy J. Hazen