Books on the topic 'Système en apprentissage automatique'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 books for your research on the topic 'Système en apprentissage automatique.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse books on a wide variety of disciplines and organise your bibliography correctly.
Brigitte, Grau, and Chevallet Jean-Pierre, eds. La recherche d'informations précises: Traitement automatique de la langue, apprentissage et connaissances pour les systèmes de question-réponse. Paris: Hermès science publications, 2008.
Find full textThe design and analysis of efficient learning algorithms. Cambridge, Mass: MIT Press, 1992.
Find full textSupport vector machines for pattern classification. 2nd ed. London: Springer, 2010.
Find full textMarco, Colombetti, ed. Robot shaping: An experiment in behavior engineering. Cambridge, Mass: MIT Press, 1998.
Find full textBareiss, Ray. Exemplar-based knowledge acquisition: A unified approach to concept representation, classification, and learning. Boston: Academic Press, 1989.
Find full textBouchard, Gérard. Reconstitution automatique des familles: Le système SOREP. Chicoutimi: SOREP, Centre interuniversitaire de recherches sur les populations, 1985.
Find full textAdriaans, Pieter. Data mining. Harlow, England: Addison-Wesley, 1996.
Find full textBorchardt, Gary C. Thinking between the lines: Computers and the comprehension of causaldescriptions. Cambridge, Mass: MIT Press, 1994.
Find full textBorchardt, Gary C. Thinking between the lines: Computers and the comprehension of causal descriptions. Cambridge, Mass: MIT Press, 1994.
Find full textSilberztein, Max. Dictionnaires électroniques et analyse automatique de textes: Le système INTEX. Paris: Masson, 1993.
Find full textPollock, John L. Cognitive carpentry: A blueprint forhow to build a person. Cambridge, Mass: MIT Press, 1995.
Find full textCognitive carpentry: A blueprint for how to build a person. Cambridge, Mass: MIT Press, 1995.
Find full textRobidas, Guy. Psychologie de l'apprentissage: Un système d'apprentissage-enseignement personnalisé. Brossard, Qué: Editions Behaviora, 1989.
Find full textXanthos, Aris. Apprentissage automatique de la morphologie: Le cas des structures racine-schème. Bern: Peter Lang, 2008.
Find full textAgnès, Guillot, and Daucé Emmanuel, eds. Approche dynamique de la cognition artificielle. Paris: Hermès science publications, 2002.
Find full textAlpaydin, Ethem. Introduction to machine learning. Cambridge, MA: MIT Press, 2005.
Find full textMachine learning: The art and science of algorithms that make sense of data. Cambridge: Cambridge University Press, 2012.
Find full textElements of machine learning. San Francisco, Calif: Morgan Kaufmann, 1996.
Find full textInternational Conference on Machine Learning (7th 1990 University of Texas). Machine learning: Proceedings of the seventh international conference (1990), University of Texas, Austin, Texas, June 21-23, 1990. Edited by Porter Bruce 1956-, Mooney Raymond J, and Artificial Intelligence and Robotics Program (U.S.). San Mateo, Calif: Morgan Kaufmann Publishers, 1990.
Find full textNetwork anomaly detection: A machine learning perspective. Boca Raton: CRC Press, Taylor & Francis Group, 2014.
Find full textApprentissage symbolique: Une approche de l'intelligence artificielle. Toulouse (France): Cépaduès-éditions, 1993.
Find full textBrazdil, Pavel B. Metalearning: Applications to data mining. Berlin: Springer, 2009.
Find full textOscar, Firschein, ed. Intelligence: The eye, the brain, and the computer. Reading, Mass: Addison-Wesley, 1987.
Find full textICML '02: 19th International Conference on Machine Learning. Morgan Kaufmann, 2002.
Find full textMadala, H. R. Inductive Learning Algorithms for Complex Systems Modeling. Taylor & Francis Group, 2019.
Find full textMadala, H. R. Inductive Learning Algorithms for Complex Systems Modeling. Taylor & Francis Group, 2019.
Find full textPoongodi, T., Balamurugan Balusamy, Firoz Khan KP, and Bansal Himani. Machine Learning and Analytics in Healthcare Systems. Taylor & Francis Group, 2021.
Find full textSuganthi, K., R. Karthik, G. Rajesh, and Peter Ho Chiung Ching. Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. Taylor & Francis Group, 2021.
Find full textSuganthi, K., R. Karthik, G. Rajesh, and Peter Ho Chiung Ching. Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. Taylor & Francis Group, 2021.
Find full textMachine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. CRC Press, 2021.
Find full textBansal, Himani, T. Poongodi, and Balamurugan Balusamy. Machine Learning and Analytics in Healthcare Systems: Principles and Applications. CRC Press LLC, 2021.
Find full textMachine Learning and Analytics in Healthcare Systems: Principles and Applications. Taylor & Francis Group, 2021.
Find full textBansal, Himani, T. Poongodi, Balamurugan Balusamy, and Firoz Khan KP. Machine Learning and Analytics in Healthcare Systems: Principles and Applications. Taylor & Francis Group, 2021.
Find full textGIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Find full textTraffic Information and Control. Institution of Engineering & Technology, 2021.
Find full textHe, Zhengbing, and Ruimin Li. Traffic Information and Control. Institution of Engineering & Technology, 2020.
Find full textOjo, Adegbola. GIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Find full textOjo, Adegbola. GIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Find full textOjo, Adegbola. GIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Find full textSystems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Learning, Development, and Conceptual Change). The MIT Press, 1990.
Find full textDesigning Machine Learning Systems with Python. Packt Publishing, 2016.
Find full textSupervised and Unsupervised Ensemble Methods and Their Applications Studies in Computational Intelligence. Springer, 2008.
Find full textCrane, Harry. Probabilistic Foundations of Statistical Network Analysis. Taylor & Francis Group, 2018.
Find full textCrane, Harry. Probabilistic Foundations of Statistical Network Analysis. Taylor & Francis Group, 2018.
Find full textProbabilistic Foundations of Statistical Network Analysis. Chapman and Hall/CRC, 2018.
Find full textKumar, Neeraj, and Aaisha Makkar. Machine Learning in Cognitive IoT. Taylor & Francis Group, 2020.
Find full textMachine Learning in Cognitive Iot. Taylor & Francis Group, 2020.
Find full textKumar, Neeraj, and Aaisha Makkar. Machine Learning in Cognitive IoT. Taylor & Francis Group, 2020.
Find full textKumar, Neeraj, and Aaisha Makkar. Machine Learning in Cognitive IoT. Taylor & Francis Group, 2020.
Find full textBareiss, Ray. Exemplar Based Knowledge Acquisition: A Unified Approach to Concept Representation Classification, and Learning (Prspctvs in Art Intlgnce, Vol 2). Academic Pr, 1990.
Find full text