In response to an increasing demand for novel computing methods, Neural Networks for Applied Sciences and Engineering provides a simple but systematic..
Offering a new perspective, this book provides systematic design approaches for the identification, control, and recognition of nonlinear systems in u..
This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimension..
Presenting perspectives from both the conceptual graph and FCA communities, this volume takes you through the basic yet nontrivial task of establishin..
Choosing from the numerous 3D vision methods available can be frustrating for scientists and engineers, especially without a comprehensive resource to..
An Introduction to Health and Safety Law provides a clear, concise overview of health and safety law in the United Kingdom. With reference to the Euro..
The data mining and machine learning literature currently lacks a unified treatment of multi-label dimensionality reduction that incorporates both alg..
This book provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse sol..
Advances in digital music technology have created challenges for effectively accessing and interacting with large collections of music and associated ..
Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment..
Drawing on the authors’ two decades of experience in applied modeling and data mining, this self-contained book presents the fundamental background re..
The paradoxology of scientific inference refers to the study of the nature of scientific inference and evidence through controversies or, more precise..