Livros sobre o tema "Computational Learning Sciences"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Veja os 50 melhores livros para estudos sobre o assunto "Computational Learning Sciences".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Veja os livros das mais diversas áreas científicas e compile uma bibliografia correta.
Ashwin, Ram, e Leake David B, eds. Goal-driven learning. Cambridge, Mass: MIT Press, 1995.
Encontre o texto completo da fonteD, Li Xiaodong Ph, ed. Simulated evolution and learning: 7th international conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008 : proceedings. Berlin: Springer, 2008.
Encontre o texto completo da fonteA, Rosenbaum David, e Collyer Charles E, eds. Timing of behavior: Neural, psychological, and computational perspectives. Cambridge, Mass: MIT Press, 1998.
Encontre o texto completo da fonteSøren, Brunak, ed. Bioinformatics: The machine learning approach. 2a ed. Cambridge, Mass: MIT Press, 2001.
Encontre o texto completo da fonteNeural network design and the complexity of learning. Cambridge, Mass: MIT Press, 1990.
Encontre o texto completo da fonteKearns, Michael J. An introduction to computational learning theory. Cambridge, Mass: MIT Press, 1994.
Encontre o texto completo da fonteISICA, 2008 (2008 Wuhan China). Advances in computation and intelligence: Third international symposium, ISICA 2008 : Wuhan, China, December 19-21, 2008 : proceedings. Berlin: Springer, 2008.
Encontre o texto completo da fonteISICA 2007 (2007 Wuhan, China). Advances in computation and intelligence: Second international symposium, ISICA 2007, Wuhan, China, September 21-23, 2007 ; proceedings. Berlin: Springer, 2007.
Encontre o texto completo da fonteLishan, Kang, ed. Advances in computation and intelligence: Third international symposium, ISICA 2008 : Wuhan, China, December 19-21, 2008 : proceedings. Berlin: Springer, 2008.
Encontre o texto completo da fonteISICA 2008 (2008 Wuhan, China). Advances in computation and intelligence: Third international symposium, ISICA 2008 : Wuhan, China, December 19-21, 2008 : proceedings. Berlin: Springer, 2008.
Encontre o texto completo da fonteISICA 2009 (2009 Huangshi Shi, China). Advances in computation and intelligence: 4th International Symposium on Intelligence Computation and Applications, ISICA 2009, Huangshi, China, October 23-25, 2009 : proceedings. Berlin: Springer, 2009.
Encontre o texto completo da fonteP, Roychowdhury Vwani, Siu Kai-Yeung 1966- e Orlitsky Alon 1958-, eds. Theoretical advances in neural computation and learning. Boston: Kluwer Academic, 1994.
Encontre o texto completo da fonteR, Gabriel Michael, e Moore John, eds. Learning and computational neuroscience: Foundations of adaptive networks. Cambridge, Mass: MIT Press, 1990.
Encontre o texto completo da fonteConference on Computational Learning Theory (14th 2001 Amsterdam, Netherlands). Computational learning theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16-19, 2001 : proceedings. New York: Springer, 2001.
Encontre o texto completo da fonteF, Luger George, ed. Computation and intelligence: Collected readings. Menlo Park, Calif: AAAI Press, 1995.
Encontre o texto completo da fonteRoychowdhury, Vwani. Theoretical Advances in Neural Computation and Learning. Boston, MA: Springer US, 1994.
Encontre o texto completo da fonteKacprzyk, Janusz, Vasil Sgurev e Mincho Hadjiski. Intelligent systems: From theory to practice. Berlin: Springer Verlag, 2010.
Encontre o texto completo da fonteE, Hinton Geoffrey, e Sejnowski Terrence J, eds. Unsupervised learning: Foundations of neural computation. Cambridge, Mass: MIT Press, 1999.
Encontre o texto completo da fonteReport of a workshop of pedagogical aspects of computational thinking. Washington, D.C: National Academies Press, 2011.
Encontre o texto completo da fonteSatapathy, Suresh Chandra, Vikrant Bhateja e Joao Manuel R.S. Tavares. Information and Decision Sciences: Proceedings of the 6th International Conference on FICTA. Springer, 2018.
Encontre o texto completo da fonteSatapathy, Suresh Chandra, Vikrant Bhateja, J. R. Mohanty e Joao Manuel R.S. Tavares. Information and Decision Sciences: Proceedings of the 6th International Conference on FICTA. Springer, 2018.
Encontre o texto completo da fonteBelgium) NATO Advanced Study Institute on Learning Theory and Practice (2002 : Louvain. Advances in Learning Theory: Methods, Models and Applications (Nato Science Series. Series III, Computer and Systems Sciences, V. 190). IOS Press, 2003.
Encontre o texto completo da fonteEngel, Uwe, Anabel Quan-Haase, Sunny Xun Liu e Lars E. Lyberg. Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. Taylor & Francis Group, 2021.
Encontre o texto completo da fonteEngel, Uwe, Anabel Quan-Haase, Sunny Xun Liu e Lars E. Lyberg. Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. Taylor & Francis Group, 2021.
Encontre o texto completo da fonteEngel, Uwe, Anabel Quan-Haase, Sunny Xun Liu e Lars E. Lyberg. Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. Taylor & Francis Group, 2021.
Encontre o texto completo da fonteDzeroski, Saso, e Ljupco Todorovski. Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences. Springer London, Limited, 2007.
Encontre o texto completo da fonteComputational discovery of scientific knowledge: Introduction, techniques, and applications in environmental and life sciences. Berlin: Springer, 2007.
Encontre o texto completo da fonteBusemeyer, Jerome R., Zheng Wang, James T. Townsend e Ami Eidels, eds. The Oxford Handbook of Computational and Mathematical Psychology. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.001.0001.
Texto completo da fonteKirley, Michael, Zbigniew Michalewicz, Xiaodong Li, Mengjie Zhang e Vic Ciesielski. Simulated Evolution and Learning: 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings. Springer London, Limited, 2008.
Encontre o texto completo da fonteWang, Tzai-Der, Xufa Wang e Xiaodong Li. Simulated Evolution and Learning: 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings. Springer London, Limited, 2006.
Encontre o texto completo da fonte(Editor), Tzai-Der Wang, Xiaodong Li (Editor), Shu-Heng Chen (Editor) e Xufa Wang (Editor), eds. Simulated Evolution and Learning: 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings (Lecture Notes in Computer Science). Springer, 2006.
Encontre o texto completo da fonte(Editor), David A. Rosenbaum, e Charles E. Collyer (Editor), eds. Timing of Behavior: Neural, Psychological, and Computational Perspectives. The MIT Press, 1998.
Encontre o texto completo da fonteJudd, J. Stephen. Neural Network Design and the Complexity of Learning. MIT Press, 2018.
Encontre o texto completo da fonteJudd, J. Stephen, e Robert Hanna. Neural Network Design and the Complexity of Learning. MIT Press, 1990.
Encontre o texto completo da fonte(Editor), Geoffrey Hinton, e Terrence J. Sejnowski (Editor), eds. Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience). The MIT Press, 1999.
Encontre o texto completo da fonte(Editor), Ke Chen, e Lipo Wang (Editor), eds. Trends in Neural Computation (Studies in Computational Intelligence). Springer, 2006.
Encontre o texto completo da fonteGureckis, Todd M., e Bradley C. Love. Computational Reinforcement Learning. Editado por Jerome R. Busemeyer, Zheng Wang, James T. Townsend e Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.5.
Texto completo da fonteRolls, Edmund T. Brain Computations. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198871101.001.0001.
Texto completo da fonteAnthony, M. H. G., e N. Biggs. Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science). Cambridge University Press, 1997.
Encontre o texto completo da fonteComputational Approach to Statistical Learning. Taylor & Francis Group, 2019.
Encontre o texto completo da fonteHandbook of Machine Learning for Computational Optimization. Taylor & Francis Group, 2021.
Encontre o texto completo da fonteKane, Michael, Taylor Arnold e Bryan W. Lewis. Computational Approach to Statistical Learning. Taylor & Francis Group, 2019.
Encontre o texto completo da fonteKane, Michael, Taylor Arnold e Bryan W. Lewis. Computational Approach to Statistical Learning. Taylor & Francis Group, 2019.
Encontre o texto completo da fonteKane, Michael, Taylor Arnold e Bryan W. Lewis. Computational Approach to Statistical Learning. Taylor & Francis Group, 2019.
Encontre o texto completo da fonteKane, Michael, Taylor Arnold e Bryan W. Lewis. Computational Approach to Statistical Learning. Taylor & Francis Group, 2019.
Encontre o texto completo da fonteKane, Michael, Taylor Arnold e Bryan W. Lewis. Computational Approach to Statistical Learning. Taylor & Francis Group, 2020.
Encontre o texto completo da fonteYadav, Vikash, Parashu Ram Pal e Chuan-Ming Liu, eds. Recent Developments in Artificial Intelligence and Communication Technologies. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97816810896761220101.
Texto completo da fonte(Editor), David Helmbold, e Bob Williamson (Editor), eds. Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning ... (Lecture Notes in Computer Science). Springer, 2001.
Encontre o texto completo da fonte(Editor), Paul Fischer, e Hans U. Simon (Editor), eds. Computational Learning Theory: 4th European Conference, EuroCOLT'99 Nordkirchen, Germany, March 29-31, 1999 Proceedings (Lecture Notes in Computer Science). Springer, 1999.
Encontre o texto completo da fonteHennig, Philipp, Hans P. Kersting e Michael A. Osborne. Probabilistic Numerics: Computation As Machine Learning. Cambridge University Press, 2022.
Encontre o texto completo da fonte