Книги з теми "Machine learning, kernel methods"

Bernhard, Schölkopf, Burges Christopher J. C, and Smola Alexander J, eds. Advances in kernel methods: Support vector learning. Cambridge, Mass: MIT Press, 1999.

Suzuki, 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.

Suzuki, 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.

Camps-Valls, Gustavo. Kernel methods for remote sensing 1: Data analysis 2. Hoboken, NJ: Wiley, 2009.

Léon-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.

Hsieh, William Wei. Machine learning methods in the environmental sciences: Neural networks and kernels. Cambridge, UK: Cambridge University Press, 2009.

Machine learning methods in the environmental sciences: Neural networks and kernels. Cambridge, UK: Cambridge University Press, 2009.

Yu, 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.

Learning kernel classifiers: Theory and algorithms. Cambridge, Mass: MIT Press, 2002.

G, Carbonell Jaime, ed. Machine learning: Paradigms and methods. Cambridge, Mass: MIT Press, 1990.

Savoy, Jacques. Machine Learning Methods for Stylometry. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53360-1.

Steven, Minton, and Symposium on Learning Methods for Planning Systems (1991 : Stanford University), eds. Machine learning methods for planning. San Mateo, Calif: M. Kaufmann, 1993.

Kernels for structured data. Singapore: World Scientific, 2008.

Gärtner, Thomas. Kernels for structured data. Hackensack, NJ: World Scientific, 2008.

Zhang, Cha. Ensemble Machine Learning: Methods and Applications. Boston, MA: Springer US, 2012.

Alan, Fielding, ed. Machine learning methods for ecological applications. Boston: Kluwer Academic Publishers, 1999.

Fielding, Alan H. Machine Learning Methods for Ecological Applications. Boston, MA: Springer US, 1999.

Hutter, Frank. Automated Machine Learning: Methods, Systems, Challenges. Cham: Springer Nature, 2019.

Fielding, 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.

Príncipe, J. C. Information theoretic learning: Renyi's entropy and kernel perspectives. New York: Springer, 2010.

Eguchi, 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.

Winkler, 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.

Bernhard, 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.

Berrar, Daniel. Machine learning methods for analyzing DNA microarray data. [S.l: The Author), 2004.

Kernel Methods and Machine Learning. Cambridge University Press, 2014.

Kung, S. Y. Kernel Methods and Machine Learning. Cambridge University Press, 2014.

(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.

Bruzzone, Lorenzo, and Gustau Camps-Valls. Kernel Methods for Remote Sensing Data Analysis. Wiley & Sons, Incorporated, John, 2009.

Bruzzone, Lorenzo, and Gustavo Camps-Valls. Kernel Methods for Remote Sensing Data Analysis. Wiley & Sons, Limited, John, 2009.

Bruzzone, Lorenzo, and Gustavo Camps-Valls. Kernel Methods for Remote Sensing Data Analysis. Wiley & Sons, Incorporated, John, 2009.

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, 2000.

Cristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.

Cristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.

Cristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.

Cristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2006.

Cristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2011.

Cristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.

Tranchevent, 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.

Suzuki, Joe. Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic. Springer Singapore Pte. Limited, 2022.

Suzuki, Joe. Kernel Methods for Machine Learning with Math and R: 100 Exercises for Building Logic. Springer Singapore Pte. Limited, 2022.

Cristianini, Nello, and John Shawe-Taylor. Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, 2000.

Cristianini, Nello, and John Shawe-Taylor. Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, 2013.

Cristianini, Nello, and John Shawe-Taylor. Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, 2013.

Hsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2009.

Hsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2010.

Hsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2009.

Hsieh, William W. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. Cambridge University Press, 2009.

Soman, K. P. Machine Learning with SVM and Other Kernal Methods by Soman, K. P., Loganathan, R. Paperback. Non Basic Stock Line, 2009.

Principe, Jos, Simon Haykin, and Weifeng Liu. Kernel Adaptive Filtering. Wiley & Sons, Incorporated, John, 2010.

Léon, Bottou, ed. Large-scale kernel machines. Cambridge, Mass: The MIT Press, 2007.