Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these...
Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI)...
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition...
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine...
Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines is a must-read for all scientists about a very simple computation method...
This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries...
The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts...
Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A...
Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures...
This book contains a thorough treatment of neural networks, cellular-automata and synergetics, in an attempt to provide three different approaches to...