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  • Search: subject:"sequential prediction"
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Year of publication
Subject
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sequential prediction 2 Lossy source coding 1 Sequential prediction 1 Web usage mining 1 ergodic process 1 gaussian process 1 individual sequence 1 individual sequences 1 scalar quantization 1 scoring metrics 1 variable length Markov model 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 2 English 1
Author
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Lugosi, Gábor 2 BORGES, JOSÉ 1 Györfi, László 1 LEVENE, MARK 1 Linder, Tamás 1
Institution
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Department of Economics and Business, Universitat Pompeu Fabra 2
Published in...
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Economics Working Papers / Department of Economics and Business, Universitat Pompeu Fabra 2 International Journal of Information Technology & Decision Making (IJITDM) 1
Source
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RePEc 3
Showing 1 - 3 of 3
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A COMPARISON OF SCORING METRICS FOR PREDICTING THE NEXT NAVIGATION STEP WITH MARKOV MODEL-BASED SYSTEMS
BORGES, JOSÉ; LEVENE, MARK - In: International Journal of Information Technology & … 09 (2010) 04, pp. 547-573
The problem of predicting the next request during a user's navigation session has been extensively studied. In this context, higher-order Markov models have been widely used to model navigation sessions and to predict the next navigation step, while prediction accuracy has been mainly evaluated...
Persistent link: https://www.econbiz.de/10008460616
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A zero-delay sequential scheme for lossy coding of individual sequences
Linder, Tamás; Lugosi, Gábor - Department of Economics and Business, Universitat … - 2000
We consider adaptive sequential lossy coding of bounded individual sequences when the performance is measured by the sequentially accumulated mean squared distortion. The encoder and the decoder are connected via a noiseless channel of capacity $R$ and both are assumed to have zero delay. No...
Persistent link: https://www.econbiz.de/10005772112
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Cover Image
Strategies for sequential prediction of stationary time series
Györfi, László; Lugosi, Gábor - Department of Economics and Business, Universitat … - 2000
We present simple procedures for the prediction of a real valued sequence. The algorithms are based on a combination of several simple predictors. We show that if the sequence is a realization of a bounded stationary and ergodic random process then the average of squared errors converges, almost...
Persistent link: https://www.econbiz.de/10005772330
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