On evaluating stream learning algorithms
type: Item
instance of: scholarly article
title: On evaluating stream learning algorithms
zbMATH Open document ID: 1260.68329
author: João Gama
author: Raquel Sebastião
author: Pedro Pereira Rodrigues
published in: Machine Learning
publication date: 2013-03-28T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6149275
zbMATH Keywords: data streams
zbMATH Keywords: evaluation design
zbMATH Keywords: prequential analysis
zbMATH Keywords: concept drift
Wikidata QID: Q58204682
describes a project that uses: UCI-ml
describes a project that uses: MOA
describes a project that uses: VFML
MaRDI profile type: Publication
full work available at URL: s10994-012-5320-9
OpenAlex ID: W2073256825
cites work: Q3121550
cites work: Maintaining Stream Statistics over Sliding Windows
cites work: Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
cites work: Q3093335
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cites work: Advances in Artificial Intelligence – SBIA 2004
cites work: Q4001778
cites work: Tracking the best expert
cites work: Probability Inequalities for Sums of Bounded Random Variables
cites work: Evaluating Learning Algorithms
cites work: Q3174173
cites work: Q4398828
cites work: CONTINUOUS INSPECTION SCHEMES
DBLP publication ID: journals/ml/GamaSR13
DOI: 10.1007/S10994-012-5320-9
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description: scientific article; zbMATH DE number 6149275