Libros sobre el tema "Système en apprentissage automatique"
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Brigitte, Grau y 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.
Buscar texto completoThe design and analysis of efficient learning algorithms. Cambridge, Mass: MIT Press, 1992.
Buscar texto completoSupport vector machines for pattern classification. 2a ed. London: Springer, 2010.
Buscar texto completoMarco, Colombetti, ed. Robot shaping: An experiment in behavior engineering. Cambridge, Mass: MIT Press, 1998.
Buscar texto completoBareiss, Ray. Exemplar-based knowledge acquisition: A unified approach to concept representation, classification, and learning. Boston: Academic Press, 1989.
Buscar texto completoBouchard, Gérard. Reconstitution automatique des familles: Le système SOREP. Chicoutimi: SOREP, Centre interuniversitaire de recherches sur les populations, 1985.
Buscar texto completoAdriaans, Pieter. Data mining. Harlow, England: Addison-Wesley, 1996.
Buscar texto completoBorchardt, Gary C. Thinking between the lines: Computers and the comprehension of causaldescriptions. Cambridge, Mass: MIT Press, 1994.
Buscar texto completoBorchardt, Gary C. Thinking between the lines: Computers and the comprehension of causal descriptions. Cambridge, Mass: MIT Press, 1994.
Buscar texto completoSilberztein, Max. Dictionnaires électroniques et analyse automatique de textes: Le système INTEX. Paris: Masson, 1993.
Buscar texto completoPollock, John L. Cognitive carpentry: A blueprint forhow to build a person. Cambridge, Mass: MIT Press, 1995.
Buscar texto completoCognitive carpentry: A blueprint for how to build a person. Cambridge, Mass: MIT Press, 1995.
Buscar texto completoRobidas, Guy. Psychologie de l'apprentissage: Un système d'apprentissage-enseignement personnalisé. Brossard, Qué: Editions Behaviora, 1989.
Buscar texto completoXanthos, Aris. Apprentissage automatique de la morphologie: Le cas des structures racine-schème. Bern: Peter Lang, 2008.
Buscar texto completoAgnès, Guillot y Daucé Emmanuel, eds. Approche dynamique de la cognition artificielle. Paris: Hermès science publications, 2002.
Buscar texto completoAlpaydin, Ethem. Introduction to machine learning. Cambridge, MA: MIT Press, 2005.
Buscar texto completoMachine learning: The art and science of algorithms that make sense of data. Cambridge: Cambridge University Press, 2012.
Buscar texto completoElements of machine learning. San Francisco, Calif: Morgan Kaufmann, 1996.
Buscar texto completoInternational 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. Editado por Porter Bruce 1956-, Mooney Raymond J y Artificial Intelligence and Robotics Program (U.S.). San Mateo, Calif: Morgan Kaufmann Publishers, 1990.
Buscar texto completoNetwork anomaly detection: A machine learning perspective. Boca Raton: CRC Press, Taylor & Francis Group, 2014.
Buscar texto completoApprentissage symbolique: Une approche de l'intelligence artificielle. Toulouse (France): Cépaduès-éditions, 1993.
Buscar texto completoBrazdil, Pavel B. Metalearning: Applications to data mining. Berlin: Springer, 2009.
Buscar texto completoOscar, Firschein, ed. Intelligence: The eye, the brain, and the computer. Reading, Mass: Addison-Wesley, 1987.
Buscar texto completoICML '02: 19th International Conference on Machine Learning. Morgan Kaufmann, 2002.
Buscar texto completoMadala, H. R. Inductive Learning Algorithms for Complex Systems Modeling. Taylor & Francis Group, 2019.
Buscar texto completoMadala, H. R. Inductive Learning Algorithms for Complex Systems Modeling. Taylor & Francis Group, 2019.
Buscar texto completoPoongodi, T., Balamurugan Balusamy, Firoz Khan KP y Bansal Himani. Machine Learning and Analytics in Healthcare Systems. Taylor & Francis Group, 2021.
Buscar texto completoSuganthi, K., R. Karthik, G. Rajesh y Peter Ho Chiung Ching. Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. Taylor & Francis Group, 2021.
Buscar texto completoSuganthi, K., R. Karthik, G. Rajesh y Peter Ho Chiung Ching. Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. Taylor & Francis Group, 2021.
Buscar texto completoMachine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. CRC Press, 2021.
Buscar texto completoBansal, Himani, T. Poongodi y Balamurugan Balusamy. Machine Learning and Analytics in Healthcare Systems: Principles and Applications. CRC Press LLC, 2021.
Buscar texto completoMachine Learning and Analytics in Healthcare Systems: Principles and Applications. Taylor & Francis Group, 2021.
Buscar texto completoBansal, Himani, T. Poongodi, Balamurugan Balusamy y Firoz Khan KP. Machine Learning and Analytics in Healthcare Systems: Principles and Applications. Taylor & Francis Group, 2021.
Buscar texto completoGIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Buscar texto completoTraffic Information and Control. Institution of Engineering & Technology, 2021.
Buscar texto completoHe, Zhengbing y Ruimin Li. Traffic Information and Control. Institution of Engineering & Technology, 2020.
Buscar texto completoOjo, Adegbola. GIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Buscar texto completoOjo, Adegbola. GIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Buscar texto completoOjo, Adegbola. GIS and Machine Learning for Small Area Classifications in Developing Countries. Taylor & Francis Group, 2020.
Buscar texto completoSystems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Learning, Development, and Conceptual Change). The MIT Press, 1990.
Buscar texto completoDesigning Machine Learning Systems with Python. Packt Publishing, 2016.
Buscar texto completoSupervised and Unsupervised Ensemble Methods and Their Applications Studies in Computational Intelligence. Springer, 2008.
Buscar texto completoCrane, Harry. Probabilistic Foundations of Statistical Network Analysis. Taylor & Francis Group, 2018.
Buscar texto completoCrane, Harry. Probabilistic Foundations of Statistical Network Analysis. Taylor & Francis Group, 2018.
Buscar texto completoProbabilistic Foundations of Statistical Network Analysis. Chapman and Hall/CRC, 2018.
Buscar texto completoKumar, Neeraj y Aaisha Makkar. Machine Learning in Cognitive IoT. Taylor & Francis Group, 2020.
Buscar texto completoMachine Learning in Cognitive Iot. Taylor & Francis Group, 2020.
Buscar texto completoKumar, Neeraj y Aaisha Makkar. Machine Learning in Cognitive IoT. Taylor & Francis Group, 2020.
Buscar texto completoKumar, Neeraj y Aaisha Makkar. Machine Learning in Cognitive IoT. Taylor & Francis Group, 2020.
Buscar texto completoBareiss, Ray. Exemplar Based Knowledge Acquisition: A Unified Approach to Concept Representation Classification, and Learning (Prspctvs in Art Intlgnce, Vol 2). Academic Pr, 1990.
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