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There are 2460 results for: content related to: An Introduction to Kernel Learning Algorithms

  1. Kernels for Remote Sensing Image Classification

    Standard Article

    Wiley Encyclopedia of Electrical and Electronics Engineering

    Emma Izquierdo-Verdiguier, Luis Gómez-Chova and Gustau Camps-Valls

    Published Online : 15 JUN 2015, DOI: 10.1002/047134608X.W8252

  2. Support Vector Machines for 3D Shape Processing

    Computer Graphics Forum

    Volume 24, Issue 3, September 2005, Pages: 285–294, Florian Steinke, Bernhard Schölkopf and Volker Blanz

    Version of Record online : 7 OCT 2005, DOI: 10.1111/j.1467-8659.2005.00853.x

  3. Kernel-based tests for joint independence

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Niklas Pfister, Peter Bühlmann, Bernhard Schölkopf and Jonas Peters

    Version of Record online : 21 MAY 2017, DOI: 10.1111/rssb.12235


    Computational Intelligence

    Volume 30, Issue 2, May 2014, Pages: 285–315, Tingting Mu, Makoto Miwa, Junichi Tsujii and Sophia Ananiadou

    Version of Record online : 6 AUG 2012, DOI: 10.1111/j.1467-8640.2012.00452.x

  5. Support vector machines in engineering: an overview

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

    Volume 4, Issue 3, May/June 2014, Pages: 234–267, S. Salcedo-Sanz, J. L. Rojo-Álvarez, M. Martínez-Ramón and G. Camps-Valls

    Version of Record online : 28 APR 2014, DOI: 10.1002/widm.1125

  6. Manifold-valued Thin-Plate Splines with Applications in Computer Graphics

    Computer Graphics Forum

    Volume 27, Issue 2, April 2008, Pages: 437–448, Florian Steinke, Matthias Hein, Jan Peters and Bernhard Schölkopf

    Version of Record online : 24 APR 2008, DOI: 10.1111/j.1467-8659.2008.01141.x

  7. 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

  8. Kernel Classification Methods for Cancer Microarray Data

    Medical Biostatistics for Complex Diseases

    Tsuyoshi Kato, Wataru Fujibuchi, Pages: 279–303, 2010

    Published Online : 19 JUL 2010, DOI: 10.1002/9783527630332.ch14

  9. Graph Kernels

    Statistical and Machine Learning Approaches for Network Analysis

    Matthias Dehmer, Subhash C. Basak, Pages: 217–243, 2012

    Published Online : 21 JUN 2012, DOI: 10.1002/9781118346990.ch8

  10. You have free access to this content
    Machine learning for quantum mechanics in a nutshell

    International Journal of Quantum Chemistry

    Volume 115, Issue 16, August 15, 2015, Pages: 1058–1073, Matthias Rupp

    Version of Record online : 4 JUL 2015, DOI: 10.1002/qua.24954

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    Causal inference by using invariant prediction: identification and confidence intervals

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 78, Issue 5, November 2016, Pages: 947–1012, Jonas Peters, Peter Bühlmann and Nicolai Meinshausen

    Version of Record online : 11 OCT 2016, DOI: 10.1111/rssb.12167

  12. You have free access to this content

    Statistical Pattern Recognition, Third Edition

    Andrew R. Webb, Keith D. Copsey, Pages: 591–636, 2011

    Published Online : 10 NOV 2011, DOI: 10.1002/9781119952954.refs

  13. Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory

    Biometrical Journal

    Volume 56, Issue 4, July 2014, Pages: 534–563, Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley and Andreas Ziegler

    Version of Record online : 29 JAN 2014, DOI: 10.1002/bimj.201300068

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    Modelling ecological niches with support vector machines

    Journal of Applied Ecology

    Volume 43, Issue 3, June 2006, Pages: 424–432, JOHN M. DRAKE, CHRISTOPHE RANDIN and ANTOINE GUISAN

    Version of Record online : 29 MAR 2006, DOI: 10.1111/j.1365-2664.2006.01141.x

  15. Inventory Policy with Parametric Demand: Operational Statistics, Linear Correction, and Regression

    Production and Operations Management

    Volume 21, Issue 2, March-April 2012, Pages: 291–308, Vivek Ramamurthy, J. George Shanthikumar and Zuo-Jun Max Shen

    Version of Record online : 6 OCT 2011, DOI: 10.1111/j.1937-5956.2011.01261.x

  16. Face detection by generating and selecting features based on Kullback-Leibler divergence

    Electronics and Communications in Japan (Part III: Fundamental Electronic Science)

    Volume 90, Issue 10, October 2007, Pages: 29–39, Ken'Ichi Morooka, Junya Arakawa and Hiroshi Nagahashi

    Version of Record online : 23 APR 2007, DOI: 10.1002/ecjc.20347

  17. Anytime online novelty and change detection for mobile robots

    Journal of Field Robotics

    Volume 28, Issue 4, July/August 2011, Pages: 589–618, Boris Sofman, Bradford Neuman, Anthony Stentz and J. Andrew Bagnell

    Version of Record online : 21 JUN 2011, DOI: 10.1002/rob.20396

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    Knowledge Discovery with Support Vector Machines

    Lutz Hamel, Pages: 231–235, 2009

    Published Online : 26 OCT 2009, DOI: 10.1002/9780470503065.refs

  19. Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

    Biometrics: Theory, Methods, and Applications

    Jieping Ye, Shuiwang Ji, Pages: 1–19, 2009

    Published Online : 11 NOV 2009, DOI: 10.1002/9780470522356.ch1

  20. Survey

    Data-Variant Kernel Analysis

    Yuichi Motai, Ph.D., Pages: 1–40, 2015

    Published Online : 24 APR 2015, DOI: 10.1002/9781119019350.ch1