Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: What Everyone Should Know About the Rise of AI: AI Transparency, Privacy, and Ethics Best Practices, Author: Rodney Puplampu
Title: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines, Author: Jeff Hawkins
Title: Network Models in Finance: Expanding the Tools for Portfolio and Risk Management, Author: Gueorgui S. Konstantinov
Title: Neural Network Learning: Theoretical Foundations, Author: Martin Anthony
Title: Functional Networks with Applications: A Neural-Based Paradigm, Author: Enrique Castillo
Title: Neural-Symbolic Cognitive Reasoning, Author: Artur S. D'Avila Garcez
Title: NEW ERA OF EXPLORATION: AI Odyssey, Author: Sterling Delano
Title: Mathematical Techniques In Multisensor Data Fusion 2nd Ed., Author: David Hall
Title: Multisensor Data Fusion, Author: Edward L Waltz
Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Discovered, Not Designed, Author: Sean McClure
Title: Deep Learning in Diabetes Mellitus Detection and Diagnosis, Author: Jyotismita Chaki
Title: Combinatorial Development Of Solid Catalytic Materials: Design Of High-throughput Experiments, Data Analysis, Data Mining, Author: Manfred Baerns
Title: Regularized Radial Basis Function Networks: Theory and Applications, Author: Paul V. Yee
Title: Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods, Author: Nikolay Nikolaev
Title: Neural Nets: Applications in Geography, Author: B. Hewitson
Title: Neural Networks for Knowledge Representation and Inference, Author: Daniel S. Levine
Title: Artificial Neural Networks, Author: Hugh Cartwright
Title: Multisensor Attitude Estimation: Fundamental Concepts and Applications, Author: Hassen Fourati

Pagination Links