"An Unsupervised Learning Rule for Class Discrimination in a Recurrent Neural Network"

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Book	Author(s)	Year	Publisher
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Unsupervised Learning: Foundations of Neural Computation	Geoffrey Hinton; Terrence J. Sejnowski	1999	MIT Press,
Unsupervised learning: foundations of neural computation /	Hinton, Geoffrey E.; Sejnowski, Terrence J.	1999.	MIT Press,
Learning in a partially hard-wired recurrent network	C. -M Kuan	1991	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
Neural Network Learning: Theoretical Foundations	Martin Anthony; Peter L. Bartlett	1999-11	Cambridge University Press
Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Natural Computing for Unsupervised Learning	Xiangtao Li; Ka-Chun Wong	1st ed. 2019	Springer International Publishing
Neural Network Learning and Expert Systems	Stephen I. Gallant	1993	MIT Press
Neural Network Learning and Expert Systems	Stephen I. Gallant	1993	MIT Press,
Neural network learning and expert systems	Stephen I. Gallant	1993	MIT Press
Unsupervised Learning Algorithms	M. Emre Celebi, Kemal Aydin (eds.)	2016	Springer International Publishing
Unsupervised Learning Algorithms	M. Emre Celebi; Kemal Aydin	1st ed. 2016	Springer International Publishing
Animal learning and cognition: a neural network approach /	Schmajuk, Nestor A.	1997.	Cambridge University Press,
Recurrent Neural Networks for Temporal Data Processing	Hubert Cardot and Romuald Boné	2011-02-09	BoD – Books on Demand
Unsupervised Learning: A Dynamic Approach	Matthew Kyan; Paisarn Muneesawang; Kambiz Jarrah; Ling Guan	2014	Wiley-IEEE Press
Fraud Analytics Using Supervised, Unsupervised and Social Network Learning Techniques	Bart Baesens	2015	John Wiley & Sons
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
An Unsupervised Learning Rule for Class Discrimination in a Recurrent Neural Network	Juan Pablo de la Cruz Gutiérrez	Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I	Stefanos D. Kollias; Andreas Stafylopatis; Włodzisław Duch; Erkki Oja	2006	Springer Berlin Heidelberg
Unsupervised Learning in LSTM Recurrent Neural Networks	Magdalena Klapper-Rybicka; Nicol N. Schraudolph; Jürgen Schmidhuber	Artificial Neural Networks - ICANN 2001: International Conference Vienna, Austria, August 21-25, 2001 Proceedings	Georg Dorffner; Horst Bischof; Kurt Hornik	2001	Springer Berlin Heidelberg
Unsupervised Learning: Neural Network Toolkits	Andreas François Vermeulen	Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor	Andreas François Vermeulen	1st ed.	Apress
An Incremental Neural Network for Non-stationary Unsupervised Learning	Shen Furao; Osamu Hasegawa	Neural Information Processing: 11th International Conference, ICONIP 2004 Calcutta, India, November 22–25, 2004 Proceedings	Nikil R. Pal; Nikola Kasabov; Rajani K. Mudi; Srimanta Pal; Swapan K. Parui	2004	Springer Berlin Heidelberg
Neural-Network-Based Feature Learning: Recurrent Neural Network	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
Learning in the Recurrent Random Neural Network	Erol Gelenbe	Neural Networks	E. Gelenbe	1992	North-Holland
Learning in the Recurrent Random Neural Network			MIT Press	1993	MIT Press
Recurrent Neural Network		Encyclopedia of Computational Neuroscience	Dieter Jaeger; Ranu Jung	2015	Springer New York
Recurrent Neural Network	Zhong-Yuan Zhang	Encyclopedia of Systems Biology	Werner Dubitzky; Olaf Wolkenhauer; Hiroki Yokota; Kwang-Hyun Cho	2013	Springer New York
Recurrent Neural Network	Hideki Nakayama	Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Recurrent Neural Network	Liangqu Long; Xiangming Zeng	Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks	Liangqu Long; Xiangming Zeng	1st ed.	Apress
Recurrent Neural Network		Encyclopedia of Computational Neuroscience	Dieter Jäger; Ranu Jung	2nd ed. 2022	Springer New York
Recurrent Neural Network		Deep Learning and Its Applications	Arvind Kumar Tiwari	2021	Nova Science Publishers
Recurrent Neural Network		Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk	Abdullah Karasan	2022	O'Reilly Media
Recurrent Neural Network		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Recurrent neural network		Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods	Ben Auffarth	2021	Packt Publishing - ebooks Account
Recurrent Neural Network		Computer architecture: a quantitative approach	Hennessy, John L.; Patterson, David A	2017;2019	Morgan Kaufmann Publishers; Elsevier : MK
Recurrent Neural Network		Neural Networks with R.	Ciaburro, Giuseppe.	2017.	Packt Publishing,
Recurrent Neural Network	G. R. Kanagachidambaresan; Adarsha Ruwali; Debrup Banerjee; Kolla Bhanu Prakash	Programming with TensorFlow: Solution for Edge Computing Applications	Kolla Bhanu Prakash; G. R. Kanagachidambaresan	1st ed. 2021	Springer International Publishing
Recurrent Neural Network	Hideki Nakayama	Computer Vision: A Reference Guide	Ikeuchi; Katsushi \| Ikeuchi; Katsushi [Editor; Other]	0th ed. 2020	Springer International Publishing
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