"Two Pages Graph Layout Via Recurrent Multivalued Neural Networks"

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Book	Author(s)	Year	Publisher
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
Introduction to Graph Neural Networks	Zhiyuan Liu; Jie Zhou		Springer International Publishing
Introduction to Graph Neural Networks	Zhiyuan Liu, Jie Zhou	2020	Morgan & Claypool
Photonic Reservoir Computing: Optical Recurrent Neural Networks	Daniel Brunner; Miguel C. Soriano; Guy Van der Sande	2019	De Gruyter
Supervised Sequence Labelling with Recurrent Neural Networks	Alex Graves	2012	Springer Berlin Heidelberg
Recurrent Neural Networks for Temporal Data Processing	Hubert Cardot and Romuald Boné	2011-02-09	BoD – Books on Demand
Recurrent Neural Networks: From Simple to Gated Architectures	Fathi M. Salem	1st ed. 2022	Springer International Publishing
Qualitative Analysis and Synthesis of Recurrent Neural Networks	Anthony Michel; Derong Liu	2001	Routledge
Qualitative analysis and synthesis of recurrent neural networks /	Michel, Anthony N.; Liu, Derong.	[2002], ©2002.	Marcel Dekker,
Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1993	University of Illinois at Urbana-Champaign
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1992	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
Recurrent Neural Networks: Design and Applications (International Series on Computational Intelligence)	Larry Medsker, Lakhmi C. Jain	1999	CRC Press
Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications	George A. Rovithakis; Manolis A. Christodoulou	2000	Springer London
Analog IC Placement Generation via Neural Networks from Unlabeled Data	António Gusmão; Nuno Horta; Nuno Lourenço; Ricardo Martins	1st ed. 2020	Springer International Publishing
Neural Networks	Herve Abdi; Dominique Valentin; Betty Edelman	December 1998	SAGE Publications, Inc
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Two Pages Graph Layout Via Recurrent Multivalued Neural Networks	Domingo López-Rodríguez; Enrique Mérida-Casermeiro; Juan M. Ortíz-de-Lazcano-Lobato; Gloria Galán-Marín	Computational and Ambient Intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings	Francisco Sandoval; Alberto Prieto; Joan Cabestany; Manuel Graña	2007	Springer Berlin Heidelberg
Graph Partitioning via Recurrent Multivalued Neural Networks	Enrique Mérida-Casermeiro; Domingo López-Rodríguez	Computational Intelligence and Bioinspired Systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings	Joan Cabestany; Alberto Prieto; Francisco Sandoval	2005	Springer Berlin Heidelberg
K-Pages Graph Drawing with Multivalued Neural Networks	Domingo López-Rodríguez; Enrique Mérida-Casermeiro; Juan M. Ortíz-de-Lazcano-Lobato; Gloria Galán-Marín	Artificial Neural Networks - ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II	Joaquim Marques de Sá; Luis A. Alexandre; Wlodzislaw Duch; Danilo Mandic	2007	Springer Berlin Heidelberg
K -Pages Graph Drawing with Multivalued Neural Networ		Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II	Philipp Wolfrum, Christoph von der Malsburg (auth.), Joaquim Marques de Sá, Luís A. Alexandre, Włodzisław Duch, Danilo Mandic (eds.)	2007	Springer-Verlag Berlin Heidelberg
Graph Recurrent Networks	Zhiyuan Liu; Jie Zhou	Introduction to Graph Neural Networks	Zhiyuan Liu; Jie Zhou		Springer International Publishing
Graph Recurrent Networks		Introduction to Graph Neural Networks	Zhiyuan Liu, Jie Zhou	2020	Morgan & Claypool
Recurrent Neural Networks	Sajid A. Marhon; Christopher J. F. Cameron; Stefan C. Kremer	Handbook on Neural Information Processing	Monica Bianchini; Marco Maggini; Lakhmi C. Jain	2013	Springer Berlin Heidelberg
Recurrent Neural Networks	Nikhil Ketkar	Deep Learning with Python: A Hands-on Introduction	Nikhil Ketkar	1st ed.	Apress
Recurrent Neural Networks	Shriram K. Vasudevan; Sini Raj Pulari; Subashri Vasudevan	Deep Learning: A Comprehensive Guide	Shriram K Vasudevan; Sini Raj Pulari; Subashri Vasudevan	2021	Routledge
Recurrent Neural Networks	Ke-Lin Du; M. N. S. Swamy	Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
Recurrent neural networks	Hava T. Siegelmann	Computer Science Today: Recent Trends and Developments	Jan Leeuwen	1995	Springer Berlin Heidelberg
Recurrent Neural Networks	Ashwin Pajankar; Aditya Joshi	Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch	Ashwin Pajankar; Aditya Joshi	1st ed.	Apress
Recurrent neural networks	Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas	Deep Learning for Robot Perception and Cognition	Alexandros Iosifidis and Anastasios Tefas	2022	Academic Press
Recurrent Neural Networks		Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow	Magnus Ekman	2021	Addison-Wesley Professional
Recurrent Neural Networks		Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms	S/ Sumathi$ Suresh Rajappa	2021	Nova Science Publishers
Recurrent Neural Networks		Building Recommender Systems with Machine Learning and AI: Help people discover new products and content with deep learning, neural networks, and machine learning recommendations.	Frank Kane	2021	Sundog Education
Recurrent Neural Networks		Life Of A. I A Complete Guide	William Krystal	2020	Hoboken
Recurrent Neural Networks		Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu, Andreas Spanias	2021	Morgan & Claypool
Recurrent Neural Networks		Speech and Language Processing	Daniel Jurafsky, James H. Martin	2021
Recurrent Neural Networks		Practical Deep Learning: A Python-Based Introduction	Ron Kneusel	2021	No Starch Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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