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There are 8201 results for: content related to: Reply to Comment of Y. Kolodny, A. Burg and A. Sneh on “Combustion metamorphism in the Nabi Musa dome: new implications for a mud volcano origin of the Mottled Zone, Dead Sea area”, by E. Sokol, I. Novikov, S. Zateeva, Ye. Vapnik, R. Shagam and O. Kozmenko, Basin Research (2010), 22, 414-438

  1. Comment on “Combustion metamorphism (CM) in the Nabi Musa dome: new implications for a mud volcanic origin of the Mottled Zone, Dead Sea area”, by: E. Sokol, I. Novikov, S. Zateeva, Ye. Vapnik, R. Shagam and O. Kozmenko, Basin Research (2010) 22, 414–438

    Basin Research

    Volume 25, Issue 1, February 2013, Pages: 112–114, Yehoshua Kolodny, Avihu Burg and Amihai Sneh

    Version of Record online : 28 JAN 2013, DOI: 10.1111/bre.12009

  2. Combustion metamorphism in the Nabi Musa dome: new implications for a mud volcanic origin of the Mottled Zone, Dead Sea area

    Basin Research

    Volume 22, Issue 4, August 2010, Pages: 414–438, E. Sokol, I. Novikov, S. Zateeva, Ye. Vapnik, R. Shagam and O. Kozmenko

    Version of Record online : 26 FEB 2010, DOI: 10.1111/j.1365-2117.2010.00462.x

  3. You have free access to this content
    Applicability of statistical learning algorithms in groundwater quality modeling

    Water Resources Research

    Volume 41, Issue 5, May 2005, Abedalrazq Khalil, Mohammad N. Almasri, Mac McKee and Jagath J. Kaluarachchi

    Version of Record online : 12 MAY 2005, DOI: 10.1029/2004WR003608

  4. The Support Vector Machine (SVM) Algorithm for Supervised Classification of Hyperspectral Remote Sensing Data

    Kernel Methods for Remote Sensing Data Analysis

    Gustavo Camps-Valls, Lorenzo Bruzzone, Pages: 49–83, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch3

  5. Vapnik-Chervonenkis Classes of Definable Sets

    Journal of the London Mathematical Society

    Volume s2-45, Issue 2, April 1992, Pages: 377–384, Michael C. Laskowski

    Version of Record online : 23 DEC 2016, DOI: 10.1112/jlms/s2-45.2.377

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    Application of support vector regression for developing soft sensors for nonlinear processes

    The Canadian Journal of Chemical Engineering

    Volume 88, Issue 5, October 2010, Pages: 696–709, Saneej B. Chitralekha and Sirish L. Shah

    Version of Record online : 4 AUG 2010, DOI: 10.1002/cjce.20363

  7. You have free access to this content
    Assessment of monthly solar radiation estimates using support vector machines and air temperatures

    International Journal of Climatology

    Volume 32, Issue 2, February 2012, Pages: 274–285, Wei Wu and Hong-Bin Liu

    Version of Record online : 9 DEC 2010, DOI: 10.1002/joc.2267

  8. A note on L1 consistent estimation

    Canadian Journal of Statistics

    Volume 16, Issue 3, September 1988, Pages: 283–292, Yannis G. Yatracos

    Version of Record online : 18 DEC 2008, DOI: 10.2307/3314734

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    Complexity-based robust hydrologic prediction

    Water Resources Research

    Volume 45, Issue 10, October 2009, Saket Pande, Mac McKee and Luis A. Bastidas

    Version of Record online : 6 OCT 2009, DOI: 10.1029/2008WR007524

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    Forecasting surface wind speeds over offshore islands near Taiwan during tropical cyclones: Comparisons of data-driven algorithms and parametric wind representations

    Journal of Geophysical Research: Atmospheres

    Volume 120, Issue 5, 16 March 2015, Pages: 1826–1847, Chih-Chiang Wei

    Version of Record online : 11 MAR 2015, DOI: 10.1002/2014JD022568

  11. A comparative study of multi-class support vector machines in the unifying framework of large margin classifiers

    Applied Stochastic Models in Business and Industry

    Volume 21, Issue 2, March/April 2005, Pages: 199–214, Yann Guermeur, André Elisseeff and Dominique Zelus

    Version of Record online : 23 MAR 2005, DOI: 10.1002/asmb.534

  12. Land and Sea Surface Temperature Estimation by Support Vector Regression

    Kernel Methods for Remote Sensing Data Analysis

    Gabriele Moser, Sebastiano B. Serpico, Pages: 301–325, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch13

  13. On Vapnik-Chervonenkis density over indiscernible sequences

    Mathematical Logic Quarterly

    Volume 60, Issue 1-2, February 2014, Pages: 59–65, Vincent Guingona and Cameron Donnay Hill

    Version of Record online : 29 JAN 2014, DOI: 10.1002/malq.201300040

  14. A tutorial on ν-support vector machines

    Applied Stochastic Models in Business and Industry

    Volume 21, Issue 2, March/April 2005, Pages: 111–136, Pai-Hsuen Chen, Chih-Jen Lin and Bernhard Schölkopf

    Version of Record online : 23 MAR 2005, DOI: 10.1002/asmb.537

  15. Support vector machines

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 1, Issue 3, November/December 2009, Pages: 283–289, Alessia Mammone, Marco Turchi and Nello Cristianini

    Version of Record online : 11 NOV 2009, DOI: 10.1002/wics.49

  16. A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization

    Journal of the Association for Information Science and Technology

    Volume 65, Issue 10, October 2014, Pages: 1964–1987, Yindalon Aphinyanaphongs, Lawrence D. Fu, Zhiguo Li, Eric R. Peskin, Efstratios Efstathiadis, Constantin F. Aliferis and Alexander Statnikov

    Version of Record online : 1 MAR 2014, DOI: 10.1002/asi.23110

  17. General Approximation Concepts and Surrogates

    Computational Approaches for Aerospace Design: The Pursuit of Excellence

    Andy J. Keane, Prasanth B. Nair, Pages: 211–270, 2005

    Published Online : 30 JUN 2005, DOI: 10.1002/0470855487.ch5

  18. An Introduction to Kernel Learning Algorithms

    Kernel Methods for Remote Sensing Data Analysis

    Peter V. Gehler, Bernhard Schölkopf, Pages: 25–48, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch2

  19. Ten More Years of Error Rate Research

    International Statistical Review

    Volume 68, Issue 3, December 2000, Pages: 295–310, Rosa A. Schiavo and David J. Hand

    Version of Record online : 21 MAY 2007, DOI: 10.1111/j.1751-5823.2000.tb00332.x

  20. Classification of fuzzy data based on the support vector machines

    Expert Systems

    Volume 30, Issue 5, November 2013, Pages: 403–417, Yahya Forghani, Hadi Sadoghi Yazdi and Sohrab Effati

    Version of Record online : 7 SEP 2012, DOI: 10.1111/j.1468-0394.2012.00645.x