263 search results - page 30 / 53 » Machine Learning, Neural and Statistical Classification |
CORR
2008
Springer
14 years 9 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
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ESANN
2004
14 years 11 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...