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ICANN
2005
Springer
15 years 6 months ago
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel ...
110
Voted
ICPR
2006
IEEE
16 years 1 months ago
On Kernel Selection in Relevance Vector Machines Using Stability Principle
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dm...
100
Voted
CIARP
2005
Springer
15 years 6 months ago
Classifier Selection Based on Data Complexity Measures
Tin Kam Ho and Ester Bernardò Mansilla in 2004 proposed to use data complexity measures to determine the domain of competition of the classifiers. They applied different classifie...
Edith Hernández-Reyes, Jesús Ariel C...
89
Voted
INTETAIN
2005
Springer
15 years 6 months ago
Disjunctor Selection for One-Line Jokes
Here we present a model of a subtype of one-line jokes (not puns) that describes the relationship between the connector (part of the setup) and the disjunctor (often called the pun...
Jeff Stark, Kim Binsted, Benjamin Bergen
107
Voted
CPAIOR
2004
Springer
15 years 6 months ago
Simple Rules for Low-Knowledge Algorithm Selection
This paper addresses the question of selecting an algorithm from a predefined set that will have the best performance on a scheduling problem instance. Our goal is to reduce the e...
J. Christopher Beck, Eugene C. Freuder