Libros sobre el tema "Bayesian Machine Learning (BML)"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores mejores libros para su investigación sobre el tema "Bayesian Machine Learning (BML)".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore libros sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Barber, David. Bayesian reasoning and machine learning. Cambridge: Cambridge University Press, 2011.
Buscar texto completoResearch Institute for Advanced Computer Science (U.S.), ed. Bayesian learning. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.
Buscar texto completoLearning Bayesian networks. Harlow: Prentice Hall, 2003.
Buscar texto completoNeapolitan, Richard E. Learning Bayesian networks. Upper Saddle River, NJ: Pearson Prentice Hall, 2004.
Buscar texto completoNeal, Radford M. Bayesian learning for neural networks. New York: Springer, 1996.
Buscar texto completoNeal, Radford M. Bayesian learning for neural networks. Toronto: University of Toronto, Dept. of Computer Science, 1995.
Buscar texto completoHemachandran, K., Shubham Tayal, Preetha Mary George, Parveen Singla y Utku Kose. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003164265.
Texto completoCheng, Lei, Zhongtao Chen y Yik-Chung Wu. Bayesian Tensor Decomposition for Signal Processing and Machine Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22438-6.
Texto completoMACKAY, DAVID J. C. Information Theory, Inference & Learning Algorithms. Cambridge, UK: Cambridge University Press, 2003.
Buscar texto completoE, Nicholson Ann, ed. Bayesian artificial intelligence. Boca Raton, Fla: Chapman & Hall/CRC, 2004.
Buscar texto completoJensen, Finn V. An introduction to Bayesian networks. London: UCL Press, 1996.
Buscar texto completoJensen, Finn V. An introduction to Bayesian networks. New York: Springer, 1996.
Buscar texto completoApproximation methods for efficient learning of Bayesian networks. Amsterdam: IOS Press, 2008.
Buscar texto completoMikhail, Kanevski, ed. Advanced mapping of environmental data: Geostatistics, machine learning, and Bayesian maximum entropy. London: ISTE, Ltd., 2008.
Buscar texto completoFagan, Francois Johannes. Advances in Bayesian inference and stable optimization for large-scale machine learning problems. [New York, N.Y.?]: [publisher not identified], 2019.
Buscar texto completoLearning Bayesian models with R: Become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems. Birmingham, UK: Packt Publishing, 2015.
Buscar texto completoE, Nicholson Ann, ed. Bayesian artificial intelligence. 2a ed. Boca Raton, FL: CRC Press, 2011.
Buscar texto completoBayesian networks and decision graphs. New York: Springer, 2001.
Buscar texto completoTulupʹev, A. L. Baĭesovskie seti: Logiko-veroi︠a︡tnostnyĭ podkhod. Sankt-Peterburg: "Nauka", 2006.
Buscar texto completoDechter, Rina. Reasoning with probabilistic and deterministic graphical models: Exact algorithms. San Rafael, California]: Morgan & Claypool Publishers, 2013.
Buscar texto completoBarber, David. Bayesian Reasoning and Machine Learning. University of Cambridge ESOL Examinations, 2016.
Buscar texto completoBarber, David. Bayesian Reasoning and Machine Learning. Cambridge University Press, 2012.
Buscar texto completoBarber, David. Bayesian Reasoning and Machine Learning. Cambridge University Press, 2012.
Buscar texto completoBarber, David. Bayesian Reasoning and Machine Learning. Cambridge University Press, 2012.
Buscar texto completoBarber, David. Bayesian Reasoning and Machine Learning Paperback. Cambridge University Press, 2014.
Buscar texto completoTheodoridis, Sergios. Machine Learning. Elsevier Science & Technology Books, 2020.
Buscar texto completoGhavamzadeh, Mohammad, Shie Mannor, Joelle Pineau y Aviv Tamar. Bayesian Reinforcement Learning: A Survey. Now Publishers, 2015.
Buscar texto completoMachine Learning: A Bayesian and Optimization Perspective. Academic Press, 2015.
Buscar texto completoTheodoridis, Sergios. Machine Learning: A Bayesian and Optimization Perspective. Elsevier Science & Technology Books, 2015.
Buscar texto completoNeal, Radford M. Bayesian Learning for Neural Networks. Springer London, Limited, 2012.
Buscar texto completoKose, Utku, Shubham Tayal, Parveen Singla, Hemachandran K y Preetha Mary George. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications. Taylor & Francis Group, 2022.
Buscar texto completoKose, Utku, Shubham Tayal, Parveen Singla, Hemachandran K y Preetha Mary George. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications. Taylor & Francis Group, 2022.
Buscar texto completoKose, Utku, Shubham Tayal, Parveen Singla, Hemachandran K y Preetha Mary George. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications. Taylor & Francis Group, 2022.
Buscar texto completoWu, Hongmin, Zhihao Xu, Shuai Li, Xuefeng Zhou y Juan Rojas. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Singapore Pte. Limited, 2020.
Buscar texto completoWu, Hongmin, Zhihao Xu, Shuai Li, Xuefeng Zhou y Juan Rojas. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Singapore Pte. Limited, 2020.
Buscar texto completoZhou, Xuefeng. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Nature, 2020.
Buscar texto completoKorb, Kevin B. y Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2010.
Buscar texto completoKorb, Kevin B. y Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2010.
Buscar texto completoGámez, José A., Serafín Moral y Antonio Salmerón. Advances in Bayesian networks. 2010.
Buscar texto completoNielsen, Thomas Dyhre y Finn VERNER JENSEN. Bayesian Networks and Decision Graphs. Springer, 2007.
Buscar texto completoNielsen, Thomas Dyhre y Finn VERNER JENSEN. Bayesian Networks and Decision Graphs. Springer New York, 2013.
Buscar texto completoBrachman, Ronald J., Rina Dechter, Francesca Rossi y Peter Stone. Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms. Morgan & Claypool Publishers, 2019.
Buscar texto completoBrachman, Ronald J., Rina Dechter, Francesca Rossi y Peter Stone. Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms. Morgan & Claypool Publishers, 2019.
Buscar texto completoBrachman, Ronald J., Rina Dechter, Francesca Rossi y Peter Stone. Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms, Second Edition. Morgan & Claypool Publishers, 2019.
Buscar texto completoTrappenberg, Thomas P. Fundamentals of Machine Learning. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198828044.001.0001.
Texto completoVidales, A. MACHINE LEARNING with MATLAB: GAUSSIAN PROCESS REGRESSION, ANALYSIS of VARIANCE and BAYESIAN OPTIMIZATION. Independently Published, 2019.
Buscar texto completoTakikawa, Masami. Representations and algorithms for efficient inference in Bayesian networks. 1998.
Buscar texto completoKorb, Kevin B. y Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2003.
Buscar texto completoBayesian Artificial Intelligence. Taylor & Francis Group, 2023.
Buscar texto completoCheng, Lei, Zhongtao Chen y Yik-Chung Wu. Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms and Applications. Springer International Publishing AG, 2023.
Buscar texto completo