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Kernel perceptron
Known as:
Forgetron
In machine learning, the kernel perceptron is a variant of the popular perceptron learning algorithm that can learn kernel machines, i.e. non-linear…
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Related topics
Related topics
13 relations
Active set method
Basis function
Duality (optimization)
Kernel method
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Broader (1)
Statistical classification
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Um algoritmo de otimização online para a solução do problema SVM baseado na topologia de uma rede Perceptron dual
Raul Fonseca Neto
,
Samuel Belini Defilippo
2016
Corpus ID: 126012466
Este trabalho consiste no desenvolvimento e implementação de um algoritmo para a solução do problema relacionado ao treinamento…
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2014
2014
A study of visual behavior of multidimensional scaling for kernel perceptron algorithm
Che-Chang Hsu
,
Kuo-Shong Wang
,
Hung-Yuan Chung
,
Shih-Hsing Chang
Neural computing & applications (Print)
2014
Corpus ID: 254022740
The class imbalance problem occurs when the classifier is to detect a rare but important class. The purpose of this paper is to…
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2012
2012
Memory Constraint Online Multitask Classification
Giovanni Cavallanti
,
N. Cesa-Bianchi
arXiv.org
2012
Corpus ID: 2009088
We investigate online kernel algorithms which simultaneously process multiple classification tasks while a fixed constraint is…
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2010
2010
Random Kernel Perceptron on ATTiny 2313 Microcontroller
Nemanja Djuric
,
S. Vucetic
2010
Corpus ID: 16493966
Kernel Perceptron is very simple and efficient online classification algorithm. However, it requires increasingly large…
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Review
2009
Review
2009
Online Learning for URL classification
Onkar Dalal
,
Devdatta Gangal
2009
Corpus ID: 16655892
This work consists of a review of online algorithms for URL classification followed by some extensions and tweaking of these…
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2007
2007
Soft kernel perceptron in terms of L_2 norm
Tao Qing
2007
Corpus ID: 123869297
The perceptron can only solve linearly separable problems.The L2 norm soft margin algorithms in SVMs can change each linearly…
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2006
2006
Selecting the kernel type for a web-based adaptive image retrieval systems (AIRS)
Anca Doloc-Mihu
,
Vijay V. Raghavan
Electronic imaging
2006
Corpus ID: 122612896
The goal of this paper is to investigate the selection of the kernel for a Web-based AIRS. Using the Kernel Perceptron learning…
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2004
2004
A New Fuzzy Support Vector Machine Based on the Weighted Margin
Qing Tao
,
Jue Wang
Neural Processing Letters
2004
Corpus ID: 20711663
The ideas from fuzzy neural networks and support vector machine (SVM) are incorporated to make SVM classifiers perform better…
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2003
2003
Feature Extraction Languages for Propositionalized Relational Learning
C. Roth
2003
Corpus ID: 14179970
We study representations and relational learning over structured domains within a propositionalization framework that decouples…
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2002
2002
Learning Kernel Classifiers - Theory and Algorithms
Ralf Herbrich
Adaptive computation and machine learning
2002
Corpus ID: 263879802