Книги з теми "MACHINE ALGORITHMS"

Li, 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.

Ayyadevara, V. Kishore. Pro Machine Learning Algorithms. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5.

Arnold, Schönhage. Fast algorithms: A multitape Turing machine implementation. Mannheim: B.I. Wissenschaftsverlag, 1994.

Whelan, Paul F., and Derek Molloy. Machine Vision Algorithms in Java. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0251-9.

Grefenstette, John J., ed. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2740-4.

Mandal, 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.

Machine vision: theory, algorithms, practicalities. London: Academic, 1990.

Davies, E. R. Machine vision: Theory, algorithms, practicalities. 3rd ed. Amsterdam: Elsevier, 2005.

J, Grefenstette John, ed. Genetic algorithms for machine learning. Boston: Kluwer Academic Publishers, 1994.

Paliouras, Georgios. Scalability of machine learning algorithms. Manchester: University of Manchester, 1993.

Grefenstette, John J. Genetic Algorithms for Machine Learning. Boston, MA: Springer US, 1994.

Boyle, Brandon H. Support vector machines: Data analysis, machine learning, and applications. Hauppauge, N.Y: Nova Science Publishers, 2011.

The design and analysis of efficient learning algorithms. Cambridge, Mass: MIT Press, 1992.

Chatterjee, Chanchal. Adaptive Machine Learning Algorithms with Python. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8017-1.

Das, 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.

Joshi, Gauri. Optimization Algorithms for Distributed Machine Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19067-4.

Herbert, Freeman, and Rutgers University. Center for Computer Aids for Industrial Productivity., eds. Machine vision: Algorithms, architectures, and systems. Boston: Academic Press, 1988.

Wang, Wenwu. Machine audition: Principles, algorithms, and systems. Hershey, PA: Information Science Reference, 2010.

Ertekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. Saarbrücken: VDM Verlag Dr. Müller, 2009.

Hutchinson, Alan. Algorithmic learning. Oxford: Clarendon Press, 1994.

Mohri, Mehryar. Foundations of machine learning. Cambridge, MA: MIT Press, 2012.

Marsland, Stephen. Machine learning: An algorithmic perspective. Boca Raton: Chapman & Hall/CRC, 2009.

Genetic algorithms in search, optimization, and machine learning. Reading, Mass: Addison-Wesley Pub. Co., 1989.

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

Shanthamallu, Uday Shankar, and Andreas Spanias. Machine and Deep Learning Algorithms and Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03758-0.

Kumar, Vipin, P. S. Gopalakrishnan, and Laveen N. Kanal, eds. Parallel Algorithms for Machine Intelligence and Vision. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3390-9.

Thampi, Sabu M., Ljiljana Trajkovic, Kuan-Ching Li, Swagatam Das, Michal Wozniak, and Stefano Berretti, eds. Machine Learning and Metaheuristics Algorithms, and Applications. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4301-2.

Thampi, Sabu M., Selwyn Piramuthu, Kuan-Ching Li, Stefano Berretti, Michal Wozniak, and Dhananjay Singh, eds. Machine Learning and Metaheuristics Algorithms, and Applications. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0419-5.

Chatterjee, Prasenjit, Morteza Yazdani, Francisco Fernández-Navarro, and Javier Pérez-Rodríguez. Machine Learning Algorithms and Applications in Engineering. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003104858.

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning. Taylor & Francis Group, 2020.

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

Alinnor, Ugonna. Introduction to Machine Learning Algorithms: 10 Commonly Used Algorithms Machine Learning Experts. Independently Published, 2022.

Bonaccorso, Giuseppe. Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition. Packt Publishing - ebooks Account, 2018.

Mukhopadhyay, Somnath, Jyotsna Kumar Mandal, Paramartha Dutta, and Kousik Dasgupta. Algorithms in Machine Learning Paradigms. Springer Singapore Pte. Limited, 2021.

Srinivas, Mettu, G. Sucharitha, Anjanna Matta, and Prasenjit Chatterjee, eds. Machine Learning Algorithms and Applications. Wiley, 2021. http://dx.doi.org/10.1002/9781119769262.

Grefenstette, John J. Genetic Algorithms for Machine Learning. Springer, 1993.

Steger, Carsten, Markus Ulrich, and Christian Wiedemann. Machine Vision Algorithms and Applications. Wiley & Sons, Incorporated, John, 2017.

Davies, E. R. Machine Vision : Theory, Algorithms, Practicalities. Morgan Kaufmann, 2004.

Steger, Carsten, Markus Ulrich, and Christian Wiedemann. Machine Vision Algorithms and Applications. Wiley & Sons, Incorporated, John, 2018.

Srinivas, Mettu, G. Sucharitha, and Anjanna Matta. Machine Learning Algorithms and Applications. Wiley & Sons, Limited, John, 2021.

Farrell, P. G., J. R. Forrest, and E. R. Davies. Machine Vision: Theory, Algorithms, Practicalities. Elsevier Science & Technology Books, 2014.

Mukhopadhyay, Somnath, Jyotsna Kumar Mandal, and Paramartha Dutta. Algorithms in Machine Learning Paradigms. Springer, 2020.

Mukhopadhyay, Somnath, Jyotsna Kumar Mandal, Paramartha Dutta, and Kousik Dasgupta. Algorithms in Machine Learning Paradigms. Springer, 2020.

Grefenstette, John J. Genetic Algorithms for Machine Learning. Springer, 2012.

Steger, Carsten, Markus Ulrich, and Christian Wiedemann. Machine Vision Algorithms and Applications. Wiley & Sons, Incorporated, John, 2017.

Srinivas, Mettu, G. Sucharitha, and Anjanna Matta. Machine Learning Algorithms and Applications. Wiley & Sons, Incorporated, John, 2021.

Mohammed, Mohssen, Muhammad Badruddin Khan, and Eihab Bashier Mohammed Bashier. Machine Learning: Algorithms and Applications. Taylor & Francis Group, 2016.

Steger, Carsten, Markus Ulrich, and Christian Wiedemann. Machine Vision Algorithms and Applications. Wiley & Sons, Incorporated, John, 2017.