Libros sobre el tema "Learning algorithms"
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Celebi, M. Emre y Kemal Aydin, eds. Unsupervised Learning Algorithms. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24211-8.
Texto completoLi, Fuwei, Lifeng Lai y Shuguang Cui. Machine Learning Algorithms. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16375-3.
Texto completoSzepesvári, Csaba. Algorithms for Reinforcement Learning. Cham: Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-01551-9.
Texto completoAyyadevara, V. Kishore. Pro Machine Learning Algorithms. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5.
Texto completoSzepesvári, Csaba. Algorithms for reinforcement learning. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.
Buscar texto completoHutchinson, Alan. Algorithmic learning. Oxford: Clarendon Press, 1994.
Buscar texto completoLearning kernel classifiers: Theory and algorithms. Cambridge, Mass: MIT Press, 2002.
Buscar texto completoThe design and analysis of efficient learning algorithms. Cambridge, Mass: MIT Press, 1992.
Buscar texto completoSchapire, Robert E. Boosting: Foundations and algorithms. Cambridge, MA: MIT Press, 2012.
Buscar texto completoPereira, Ana I., Florbela P. Fernandes, João P. Coelho, João P. Teixeira, Maria F. Pacheco, Paulo Alves y 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.
Texto completoDawid, Herbert. Adaptive Learning by Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-00211-7.
Texto completoGrefenstette, John J., ed. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2740-4.
Texto completoPedrycz, Witold y 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.
Texto completoMandal, Jyotsna Kumar, Somnath Mukhopadhyay, Paramartha Dutta y Kousik Dasgupta, eds. Algorithms in Machine Learning Paradigms. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1041-0.
Texto completoDumitrescu, Bogdan y Paul Irofti. Dictionary Learning Algorithms and Applications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78674-2.
Texto completoDawid, Herbert. Adaptive Learning by Genetic Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-18142-9.
Texto completoPereira, Ana I., Andrej Košir, Florbela P. Fernandes, Maria F. Pacheco, João P. Teixeira y 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.
Texto completoJ, Grefenstette John, ed. Genetic algorithms for machine learning. Boston: Kluwer Academic Publishers, 1994.
Buscar texto completoMACKAY, DAVID J. C. Information Theory, Inference & Learning Algorithms. Cambridge, UK: Cambridge University Press, 2003.
Buscar texto completoPaliouras, Georgios. Scalability of machine learning algorithms. Manchester: University of Manchester, 1993.
Buscar texto completoGrefenstette, John J. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994.
Buscar texto completoSalakhutdinov, Ruslan. Efficient optimization algorithms for learning. Ottawa: National Library of Canada, 2003.
Buscar texto completoPereira, Ana I., Armando Mendes, Florbela P. Fernandes, Maria F. Pacheco, João P. Coelho y José Lima, eds. Optimization, Learning Algorithms and Applications. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53025-8.
Texto completoPereira, Ana I., Armando Mendes, Florbela P. Fernandes, Maria F. Pacheco, João P. Coelho y José Lima, eds. Optimization, Learning Algorithms and Applications. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53036-4.
Texto completoKuan, 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.
Buscar texto completo1941-, Arikawa S., ed. Algorithmic learning theory. Berlin: Springer, 1990.
Buscar texto completo1967-, Thrun Sebastian y Pratt Lorien, eds. Learning to learn. Boston, Mass: Kluwer Academic Publishers, 1998.
Buscar texto completoAnalysis of algorithms: An active learning approach. 2a ed. Sudbury, Mass: Jones and Bartlett Publishers, 2008.
Buscar texto completoZhang, Yi y Zhou Jiliu, eds. Subspace learning of neural networks. Boca Raton: CRC Press, 2011.
Buscar texto completoRaj Chelliah, Pethuru, Usha Sakthivel y Nagarajan Susila. Applied Learning Algorithms for Intelligent IoT. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9781003119838.
Texto completoChatterjee, Chanchal. Adaptive Machine Learning Algorithms with Python. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8017-1.
Texto completoBelousov, Boris, Hany Abdulsamad, Pascal Klink, Simone Parisi y 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.
Texto completoDas, Santosh Kumar, Shom Prasad Das, Nilanjan Dey y 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.
Texto completoLi, Jun-Bao, Shu-Chuan Chu y 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.
Texto completoWang, Huiwei, Huaqing Li y Bo Zhou. Distributed Optimization, Game and Learning Algorithms. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4528-7.
Texto completoMars, Phil, J. R. Chen y Raghu Nambiar. Learning Algorithms. CRC Press, 2018. http://dx.doi.org/10.1201/9781351073974.
Texto completoLearning Algorithms. Taylor & Francis Group, 2017.
Buscar texto completoMohammed, Mohssen, Muhammad Badruddin Khan y Eihab Bashier Mohammed Bashier. Machine Learning. Taylor & Francis Group, 2020.
Buscar texto completoCelebi, M. Emre y Kemal Aydin. Unsupervised Learning Algorithms. Springer, 2018.
Buscar texto completoCelebi, M. Emre y Kemal Aydin. Unsupervised Learning Algorithms. Springer London, Limited, 2016.
Buscar texto completoUnsupervised Learning Algorithms. Springer, 2016.
Buscar texto completoGacovski, Zoran. Deep Learning Algorithms. Arcler Education Inc, 2021.
Buscar texto completoMohammed, Mohssen, Muhammad Badruddin Khan y Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.
Buscar texto completoMohammed, Mohssen, Muhammad Badruddin Khan y Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.
Buscar texto completoMachine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.
Buscar texto completoSzepesvari, Csaba. Algorithms for Reinforcement Learning. Morgan & Claypool Publishers, 2010.
Buscar texto completoGrossi, Csaba. Algorithms for Reinforcement Learning. Springer International Publishing AG, 2010.
Buscar texto completoBach, Francis, Yoav Freund y Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2012.
Buscar texto completoFreund, Yoav y Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2018.
Buscar texto completoBach, Francis, Yoav Freund y Robert E. Schapire. Boosting: Foundations and Algorithms. MIT Press, 2014.
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