Books on the topic 'Machine learning, kernel methods'
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Bernhard, Schölkopf, Burges Christopher J. C, and Smola Alexander J, eds. Advances in kernel methods: Support vector learning. Cambridge, Mass: MIT Press, 1999.
Find full textSuzuki, Joe. Kernel Methods for Machine Learning with Math and R. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0398-4.
Full textSuzuki, Joe. Kernel Methods for Machine Learning with Math and Python. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0401-1.
Full textCamps-Valls, Gustavo. Kernel methods for remote sensing 1: Data analysis 2. Hoboken, NJ: Wiley, 2009.
Find full textLéon-Charles, Tranchevent, Moor Bart, Moreau Yves, and SpringerLink (Online service), eds. Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.
Find full textHsieh, William Wei. Machine learning methods in the environmental sciences: Neural networks and kernels. Cambridge, UK: Cambridge University Press, 2009.
Find full textMachine learning methods in the environmental sciences: Neural networks and kernels. Cambridge, UK: Cambridge University Press, 2009.
Find full textYu, Shi, Léon-Charles Tranchevent, Bart De Moor, and Yves Moreau. Kernel-based Data Fusion for Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19406-1.
Full textLearning kernel classifiers: Theory and algorithms. Cambridge, Mass: MIT Press, 2002.
Find full textG, Carbonell Jaime, ed. Machine learning: Paradigms and methods. Cambridge, Mass: MIT Press, 1990.
Find full textSavoy, Jacques. Machine Learning Methods for Stylometry. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53360-1.
Full textSteven, Minton, and Symposium on Learning Methods for Planning Systems (1991 : Stanford University), eds. Machine learning methods for planning. San Mateo, Calif: M. Kaufmann, 1993.
Find full textKernels for structured data. Singapore: World Scientific, 2008.
Find full textGärtner, Thomas. Kernels for structured data. Hackensack, NJ: World Scientific, 2008.
Find full textZhang, Cha. Ensemble Machine Learning: Methods and Applications. Boston, MA: Springer US, 2012.
Find full textAlan, Fielding, ed. Machine learning methods for ecological applications. Boston: Kluwer Academic Publishers, 1999.
Find full textFielding, Alan H. Machine Learning Methods for Ecological Applications. Boston, MA: Springer US, 1999.
Find full textHutter, Frank. Automated Machine Learning: Methods, Systems, Challenges. Cham: Springer Nature, 2019.
Find full textFielding, Alan H., ed. Machine Learning Methods for Ecological Applications. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5289-5.
Full textPríncipe, J. C. Information theoretic learning: Renyi's entropy and kernel perspectives. New York: Springer, 2010.
Find full textEguchi, Shinto, and Osamu Komori. Minimum Divergence Methods in Statistical Machine Learning. Tokyo: Springer Japan, 2022. http://dx.doi.org/10.1007/978-4-431-56922-0.
Full textWinkler, Joab, Mahesan Niranjan, and Neil Lawrence, eds. Deterministic and Statistical Methods in Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11559887.
Full textBernhard, Schölkopf, and Warmuth Manfred, eds. Learning theory and Kernel machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003 : proceedings. Berlin: Springer, 2003.
Find full textBerrar, Daniel. Machine learning methods for analyzing DNA microarray data. [S.l: The Author), 2004.
Find full textKernel Methods and Machine Learning. Cambridge University Press, 2014.
Find full textKung, S. Y. Kernel Methods and Machine Learning. Cambridge University Press, 2014.
Find full text(Editor), Bernhard Schölkopf, Christopher J. C. Burges (Editor), and Alexander J. Smola (Editor), eds. Advances in Kernel Methods: Support Vector Learning. The MIT Press, 1998.
Find full textBruzzone, Lorenzo, and Gustau Camps-Valls. Kernel Methods for Remote Sensing Data Analysis. Wiley & Sons, Incorporated, John, 2009.
Find full textBruzzone, Lorenzo, and Gustavo Camps-Valls. Kernel Methods for Remote Sensing Data Analysis. Wiley & Sons, Limited, John, 2009.
Find full textBruzzone, Lorenzo, and Gustavo Camps-Valls. Kernel Methods for Remote Sensing Data Analysis. Wiley & Sons, Incorporated, John, 2009.
Find full textAn Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, 2000.
Find full textCristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.
Find full textCristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.
Find full textCristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.
Find full textCristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2006.
Find full textCristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2011.
Find full textCristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.
Find full textTranchevent, Léon-Charles, Bart Moor, Shi Yu, and Yves Moreau. Kernel-Based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining. Springer Berlin / Heidelberg, 2013.
Find full textSuzuki, Joe. Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic. Springer Singapore Pte. Limited, 2022.
Find full textSuzuki, Joe. Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic. Springer Singapore Pte. Limited, 2022.
Find full textCristianini, Nello, and John Shawe-Taylor. Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, 2000.
Find full textCristianini, Nello, and John Shawe-Taylor. Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, 2013.
Find full textCristianini, Nello, and John Shawe-Taylor. Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, 2013.
Find full textHsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2009.
Find full textHsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2010.
Find full textHsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2009.
Find full textHsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2009.
Find full textMachine Learning with SVM and Other Kernal Methods by Soman, K. P., Loganathan, R. Paperback. Non Basic Stock Line, 2009.
Find full textPrincipe, Jos, Simon Haykin, and Weifeng Liu. Kernel Adaptive Filtering. Wiley & Sons, Incorporated, John, 2010.
Find full textLéon, Bottou, ed. Large-scale kernel machines. Cambridge, Mass: The MIT Press, 2007.
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