A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction (English)
- New search for: Asencio-Cortés, G.
- New search for: Martínez-Álvarez, F.
- New search for: Morales-Esteban, A.
- New search for: Reyes, J.
- New search for: Asencio-Cortés, G.
- New search for: Martínez-Álvarez, F.
- New search for: Morales-Esteban, A.
- New search for: Reyes, J.
In:
KNOWLEDGE BASED SYSTEMS -LONDON THEN AMSTERDAM- BUTTERWORTH SCIENTIFIC LIMITED THEN ELSEVIER-
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101
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15-30
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2016
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ISSN:
- Article (Journal) / Print
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Title:A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction
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Contributors:Asencio-Cortés, G. ( author ) / Martínez-Álvarez, F. ( author ) / Morales-Esteban, A. ( author ) / Reyes, J. ( author )
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Published in:
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Publisher:
- New search for: Elsevier Science B.V., Amsterdam.
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Publication date:2016-01-01
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Size:16 pages
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ISSN:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 006.33
- Further information on Dewey Decimal Classification
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Classification:
DDC: 006.33 -
Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents – Volume 101
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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An artificial intelligence tool for heterogeneous team formation in the classroomAlberola, Juan M. / del Val, Elena / Sanchez-Anguix, Victor / Palomares, Alberto / Dolores Teruel, Maria et al. | 2016
- 15
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A sensitivity study of seismicity indicators in supervised learning to improve earthquake predictionAsencio-Cortés, G. / Martínez-Álvarez, F. / Morales-Esteban, A. / Reyes, J. et al. | 2016
- 31
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An automated system for grammatical analysis of Twitter messages. A learning task applicationOussalah, M. / Escallier, B. / Daher, D. et al. | 2016
- 48
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Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression TreesWang, Xiaojun / Yuan, Ping / Mao, Zhizhong / You, Mingshuang et al. | 2016
- 60
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Identification of mammography anomalies for breast cancer detection by an ensemble of classification models based on artificial immune systemMagna, Gabriele / Casti, Paola / Jayaraman, Sowmya Velappa / Salmeri, Marcello / Mencattini, Arianna / Martinelli, Eugenio / Natale, Corrado Di et al. | 2016
- 71
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Hierarchical anonymization algorithms against background knowledge attack in data releasingAmiri, Fatemeh / Yazdani, Nasser / Shakery, Azadeh / Chinaei, Amir H. et al. | 2016
- 90
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A new quantum-behaved particle swarm optimization based on cultural evolution mechanism for multiobjective problemsLiu, Tianyu / Jiao, Licheng / Ma, Wenping / Ma, Jingjing / Shang, Ronghua et al. | 2016
- 100
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From numeric data to information granules: A design through clustering and the principle of justifiable granularityWang, Xin / Pedrycz, Witold / Gacek, Adam / Liu, Xiaodong et al. | 2016
- 114
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A fast scheme for multilevel thresholding based on a modified bees algorithmHussein, Wasim A. / Sahran, Shahnorbanun / Abdullah, Siti Norul Huda Sheikh et al. | 2016
- 135
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A method for constructing the Composite Indicator of business cycles based on information granulation and Dynamic Time WarpingSun, Zhubin / Liu, Xiaodong / Guo, Hongyue et al. | 2016
- 142
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Modelling high-frequency FX rate dynamics: A zero-delay multi-dimensional HMM-based approachTenyakov, Anton / Mamon, Rogemar / Davison, Matt et al. | 2016
- IFC
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Editorial Board| 2016