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Title: Common LISP Modules: Artificial Intelligence in the Era of Neural Networks and Chaos Theory / Edition 1, Author: Mark Watson
Title: Automatic Modulation Recognition of Communication Signals / Edition 1, Author: Elsayed Azzouz
Title: Neural Networks and Analog Computation: Beyond the Turing Limit / Edition 1, Author: Hava T. Siegelmann
Title: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications / Edition 1, Author: Okyay Kaynak
Title: Neural Networks and Learning Machines / Edition 3, Author: Simon Haykin
Title: Bayesian Learning for Neural Networks / Edition 1, Author: Radford M. Neal
Title: Neural Network Learning: Theoretical Foundations, Author: Martin Anthony
Title: Multisensor Surveillance Systems: The Fusion Perspective / Edition 1, Author: Gian Luca Foresti
Title: Automated Machine Learning in Action, Author: Qingquan Song
Title: Designing Deep Learning Systems: A software engineer's guide, Author: Chi Wang
Title: Statistical Mechanics of Learning, Author: A. Engel
Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
Title: Deep Learning Technologies for Social Impact, Author: Shajulin Benedict
Title: Evolving Intelligent Systems: Methodology and Applications / Edition 1, Author: Plamen Angelov
Title: The Mathematics Of Generalization, Author: David. H Wolpert
Title: WAVELETS SOFT COMPUTING (2ND ED), Author: Marc Thuillard
Title: Handbook of Neural Network Signal Processing, Author: Yu Hen Hu
Title: Dynamical Systems with Saturation Nonlinearities: Analysis and Design, Author: Derong Liu

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