"Sequential Bayesian Learning for Modular Neural Networks"

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Book	Author(s)	Year	Publisher
Bayesian Learning for Neural Networks	Radford M. Neal	1996	Springer New York
Learning and Categorization in Modular Neural Networks	Jacob M.J. Murre	1992	Routledge
Learning Bayesian networks /	Neapolitan, Richard E.	[2004], ©2004.	Pearson Prentice Hall,
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Approximation Methods for Efficient Learning of Bayesian Networks	C. Riggelsen, C. Riggelsen	2008	IOS Press
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation	Daniela Sanchez; Patricia Melin	1st ed. 2016	Springer International Publishing
Predictive Modular Neural Networks: Applications to Time Series	Vassilios Petridis; Athanasios Kehagias	1998	Springer US
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2nd ed. 2019	Springer London
Subspace Learning of Neural Networks	Jian Cheng Lv; Zhang Yi; Jiliu Zhou	2011	Routledge
Neural networks and learning machines	Haykin, Simon	2008;2009	Pearson Education
Neural Networks and Learning Machines	Simon O. Haykin	2008	Prentice Hall
Neural Networks and Learning Machines	Simon S. Haykin	2009	Prentice Hall
Subspace learning of neural networks	Jian Cheng Lv	2011	CRC Press
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition	Patricia Melin	2012	Springer Berlin Heidelberg
Attention and Memory-Augmented Networks for Dual-View Sequential Learning	Yong He, Cheng Wang, Nan Li, Zhenyu Zeng	2020	Association for Computing Machinery
On-Line Learning in Neural Networks	David Saad	2009	Cambridge University Press
On-Line Learning in Neural Networks	David Saad	1999-01	Cambridge University Press
Delay learning in artificial neural networks	Catherine E. Myers	1992	Chapman & Hall
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Sequential Bayesian Learning for Modular Neural Networks	Pan Wang; Zhun Fan; Youfeng Li; Shan Feng	Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I	Jun Wang; Xiaofeng Liao; Zhang Yi	2005	Springer Berlin Heidelberg
Sequential Bayesian Estimation of Recurrent Neural Networks	Branimir Todorović; Claudio Moraga; Miomir Stanković	Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing	Rudolf Seising; Héctor Allende-Cid	1st ed. 2017	Springer International Publishing
Modular Neural Networks	Anupam Shukla; Ritu Tiwari; Rahul Kala	Towards Hybrid and Adaptive Computing: A Perspective	Anupam Shukla; Ritu Tiwari; Rahul Kala	2010	Springer Berlin Heidelberg
Modular Neural Networks	Patricia Melin; Oscar Castillo	Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems	Patricia Melin; Oscar Castillo	2005	Springer Berlin Heidelberg
Modular Neural Networks	Raúl Rojas	Neural Networks: A Systematic Introduction	Raul Rojas	1996	Springer Berlin Heidelberg
Bayesian neural networks		Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras	Yuxi (Hayden) Liu, Saransh Mehta	2019	Packt Publishing
Bayesian Neural Networks		Statistical problems in particle physics, astrophysics and cosmology (Proc. PHYSTAT05)(ICP 2006)	Louis Lyons, Muge Karagoz Unel	2006	World Scientific Publishing Company
Bayesian Neural Networks	Lucas Pinheiro Cinelli; Matheus Araújo Marins; Eduardo Antúnio Barros da Silva; Sérgio Lima Netto	Variational Methods for Machine Learning with Applications to Deep Networks	Lucas Pinheiro Cinelli; Matheus Araújo Marins; Eduardo Antônio Barros da Silva; Sérgio Lima Netto	1st ed. 2021	Springer International Publishing
Bayesian neural networks		Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
Backpropagation for sequential neural networks		Deep Learning and the Game of Go	Max Pumperla, Kevin Ferguson	2019	Manning Publications
Modular Neural Networks for Model-Free Behavioral Learning	Johane Takeuchi; Osamu Shouno; Hiroshi Tsujino	Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings Part I	Vera Kurkova-Pohlova; Jan Koutnik; Roman Neruda	2008	Springer Berlin Heidelberg
Modular Version of Neural Networks for Deep Learning	William B. Claster	Mathematics and Programming for Machine Learning with R: From the Ground Up	William B. Claster	2020	Routledge
Particle Learning for Sequential Bayesian Computation	Hedibert F. Lopes	Bayesian Statistics 9	José M. Bernardo; M. J. Bayarri; James O. Berger; A. P. Dawid; David Heckerman; Adrian F. M. Smith; Mike West	2011	Oxford University Press
Create Modular Neural Networks		Image Processing Toolbox™User's Guide	coll	2021	The MathWorks, Inc.
Learning Bayesian Networks	Enrique Castillo; José Manuel Gutiérrez; Ali S. Hadi	Expert Systems and Probabilistic Network Models	Enrique Castillo; Jose M. Gutierrez; Ali S. Hadi	1997	Springer New York
Learning Bayesian Networks		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Bayesian Networks: Learning	Luis Enrique Sucar	Probabilistic Graphical Models: Principles and Applications	Luis Enrique Sucar	2015	Springer London
Learning Bayesian Networks		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Learning Bayesian Networks	Richard E. Neapolitan; Xia Jiang	Probabilistic Methods for Financial and Marketing Informatics	Richard E. Neapolitan and Xia Jiang	2007	Morgan Kaufmann
Learning Bayesian Networks		Encyclopedia of Data Warehousing and Mining	John Wang, John Wang	2008	MIX
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Showing 1 to 20 of 100 entries

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