Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices

<p><i>Hybrid Computational Intelligence: Challenges and Utilities </i>is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. </p> <p>Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.</p>

Biggs, Norman L

This volume reflects the growing use of techniques from topology and category theory in the field of theoretical computer science. In so doing it offers a source of new problems with a practical flavor while stimulating original ideas and solutions. Reflecting the latest innovations at the interface between mathematics and computer science, the work will interest researchers and advanced students in both fields.

Humphreys, Paul

Grossman, Peter

Murphy, Kevin P