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Reinforcement and Systemic Machine Learning for Decision Making
Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making

There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the...

A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications

This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and...

Introducing Bootstrap 4
Introducing Bootstrap 4

Learn how to use the front end CSS framework Bootstrap 4 to create powerful web applications. You'll work with all the components of Bootstrap 4 using easy-to-follow instructions and example code snippets. You'll also use Bootstrap 4 for typography, forms, and modules, and see how to structure your page and your code to be optimally...

Essentials of Anatomy and Physiology
Essentials of Anatomy and Physiology

Describes and illustrates the important aspects of anatomy, physiology, and pathophysiology.

Afifth edition of Essentials of Anatomy and Physiology is very gratifying, and again we have the pleasure of thanking all of our colleagues in teaching who continue to use our textbook and of welcoming new teachers and students. ...
Advances in Evolutionary Computing for System Design (Studies in Computational Intelligence)
Advances in Evolutionary Computing for System Design (Studies in Computational Intelligence)
Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; evolution of fuzzy controllers;...
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
Science arises from the very human desire to understand and control the world. Over the course of history, we
humans have gradually built up a grand edifice of knowledge that enables us to predict, to varying extents, the
weather, the motions of the planets, solar and lunar eclipses, the courses of diseases, the rise and fall of...
Robust Systems Theory and Applications (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Robust Systems Theory and Applications (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
A complete, up-to-date textbook on an increasingly important subject

Robust Systems Theory and Applications covers both the techniques used in linear robust control analysis/synthesis and in robust (control-oriented) identification. The main analysis and design methods are complemented by elaborated examples and a group of worked-out...

Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and...

PayPal APIs: Up and Running
PayPal APIs: Up and Running
There has never been a better time to have a keen interest in commerce. The Web has truly accelerated globalization and connected us all through a common network. Information can now be shared at mind-boggling rates, and entrepreneurs everywhere can truly reach a global audience if they’re clever (and...
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

SQL In A Nutshell, 2nd Edition
SQL In A Nutshell, 2nd Edition
This essential desktop reference drills down and documents every SQL command and how to use it in both commercial (Oracle, DB2, and Microsoft SQL Server) and open source implementations (PostgreSQL, and MySQL). It includes the command syntax (by vendor, if the syntax differs across implementations), a description, and practical examples. And...
Algebraic Theory of Automata Networks (SIAM Monographs on Discrete Mathematics and Applications, 11)
Algebraic Theory of Automata Networks (SIAM Monographs on Discrete Mathematics and Applications, 11)
This self-contained monograph covers the foundations of what is currently known about automata networks, giving the reader sufficient theoretical background to be at the forefront of research in many related areas. Alexandra Kireeva, Mathematical Reviews

Algebraic Theory of Automata Networks investigates automata networks as
...
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