Books on the topic 'Learning algorithms'
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Celebi, M. Emre, and Kemal Aydin, eds. Unsupervised Learning Algorithms. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24211-8.
Full textLi, Fuwei, Lifeng Lai, and Shuguang Cui. Machine Learning Algorithms. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16375-3.
Full textSzepesvári, Csaba. Algorithms for Reinforcement Learning. Cham: Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-01551-9.
Full textAyyadevara, V. Kishore. Pro Machine Learning Algorithms. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5.
Full textSzepesvári, Csaba. Algorithms for reinforcement learning. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.
Find full textHutchinson, Alan. Algorithmic learning. Oxford: Clarendon Press, 1994.
Find full textLearning kernel classifiers: Theory and algorithms. Cambridge, Mass: MIT Press, 2002.
Find full textThe design and analysis of efficient learning algorithms. Cambridge, Mass: MIT Press, 1992.
Find full textSchapire, Robert E. Boosting: Foundations and algorithms. Cambridge, MA: MIT Press, 2012.
Find full textPereira, Ana I., Florbela P. Fernandes, João P. Coelho, João P. Teixeira, Maria F. Pacheco, Paulo Alves, and Rui P. Lopes, eds. Optimization, Learning Algorithms and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91885-9.
Full textDawid, Herbert. Adaptive Learning by Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-00211-7.
Full textGrefenstette, John J., ed. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2740-4.
Full textPedrycz, Witold, and Shyi-Ming Chen, eds. Deep Learning: Algorithms and Applications. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31760-7.
Full textMandal, Jyotsna Kumar, Somnath Mukhopadhyay, Paramartha Dutta, and Kousik Dasgupta, eds. Algorithms in Machine Learning Paradigms. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1041-0.
Full textDumitrescu, Bogdan, and Paul Irofti. Dictionary Learning Algorithms and Applications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78674-2.
Full textDawid, Herbert. Adaptive Learning by Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-18142-9.
Full textPereira, Ana I., Andrej Košir, Florbela P. Fernandes, Maria F. Pacheco, João P. Teixeira, and Rui P. Lopes, eds. Optimization, Learning Algorithms and Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23236-7.
Full textJ, Grefenstette John, ed. Genetic algorithms for machine learning. Boston: Kluwer Academic Publishers, 1994.
Find full textMACKAY, DAVID J. C. Information Theory, Inference & Learning Algorithms. Cambridge, UK: Cambridge University Press, 2003.
Find full textPaliouras, Georgios. Scalability of machine learning algorithms. Manchester: University of Manchester, 1993.
Find full textGrefenstette, John J. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994.
Find full textSalakhutdinov, Ruslan. Efficient optimization algorithms for learning. Ottawa: National Library of Canada, 2003.
Find full textPereira, Ana I., Armando Mendes, Florbela P. Fernandes, Maria F. Pacheco, João P. Coelho, and José Lima, eds. Optimization, Learning Algorithms and Applications. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53025-8.
Full textPereira, Ana I., Armando Mendes, Florbela P. Fernandes, Maria F. Pacheco, João P. Coelho, and José Lima, eds. Optimization, Learning Algorithms and Applications. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53036-4.
Full textKuan, C. M. Convergence of learning algorithms with constant learning rates. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1990.
Find full text1941-, Arikawa S., ed. Algorithmic learning theory. Berlin: Springer, 1990.
Find full text1967-, Thrun Sebastian, and Pratt Lorien, eds. Learning to learn. Boston, Mass: Kluwer Academic Publishers, 1998.
Find full textAnalysis of algorithms: An active learning approach. 2nd ed. Sudbury, Mass: Jones and Bartlett Publishers, 2008.
Find full textZhang, Yi, and Zhou Jiliu, eds. Subspace learning of neural networks. Boca Raton: CRC Press, 2011.
Find full textRaj Chelliah, Pethuru, Usha Sakthivel, and Nagarajan Susila. Applied Learning Algorithms for Intelligent IoT. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9781003119838.
Full textChatterjee, Chanchal. Adaptive Machine Learning Algorithms with Python. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8017-1.
Full textBelousov, Boris, Hany Abdulsamad, Pascal Klink, Simone Parisi, and Jan Peters, eds. Reinforcement Learning Algorithms: Analysis and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-41188-6.
Full textDas, Santosh Kumar, Shom Prasad Das, Nilanjan Dey, and Aboul-Ella Hassanien, eds. Machine Learning Algorithms for Industrial Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50641-4.
Full textLi, Jun-Bao, Shu-Chuan Chu, and Jeng-Shyang Pan. Kernel Learning Algorithms for Face Recognition. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-0161-2.
Full textWang, Huiwei, Huaqing Li, and Bo Zhou. Distributed Optimization, Game and Learning Algorithms. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4528-7.
Full textMars, Phil, J. R. Chen, and Raghu Nambiar. Learning Algorithms. CRC Press, 2018. http://dx.doi.org/10.1201/9781351073974.
Full textLearning Algorithms. Taylor & Francis Group, 2017.
Find full textMohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning. Taylor & Francis Group, 2020.
Find full textCelebi, M. Emre, and Kemal Aydin. Unsupervised Learning Algorithms. Springer, 2018.
Find full textCelebi, M. Emre, and Kemal Aydin. Unsupervised Learning Algorithms. Springer London, Limited, 2016.
Find full textUnsupervised Learning Algorithms. Springer, 2016.
Find full textGacovski, Zoran. Deep Learning Algorithms. Arcler Education Inc, 2021.
Find full textMohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.
Find full textMohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.
Find full textMachine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.
Find full textSzepesvari, Csaba. Algorithms for Reinforcement Learning. Morgan & Claypool Publishers, 2010.
Find full textGrossi, Csaba. Algorithms for Reinforcement Learning. Springer International Publishing AG, 2010.
Find full textBach, Francis, Yoav Freund, and Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2012.
Find full textFreund, Yoav, and Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2018.
Find full textBach, Francis, Yoav Freund, and Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2014.
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