Ebook Free Download | Automating Manufacturing Systems | Control engineering has evolved over time. In the past humans were the main method for controlling a system. More recently electricity has been used for control and early electrical control was based on relays. These relays allow power to be switched on and off without a mechanical switch. It is common to use relays to make simple logical control decisions. The development of low cost computer has brought the most recent revolution, the Programmable Logic Controller (PLC). The advent of the PLC began in the 1970s, and has become the most common choice for manufacturing controls. continue reading…
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Category: Machine Learning
Ebook Free Download :Semi-Supervised Learning (Adaptive Computation and Machine Learning) | In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. continue reading…
Ebook Free Download : Modelling Data Locally and Globally | Machine Learning – Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either `local learning`or `global learning.`This theory not only connects previous machine learning methods, or serves as roadmap in various models, but ? more importantly ? it also motivates a theory that can learn from data both locally and globally. continue reading…
Ebook free download : Machine Learning, Neural and Statistical Classification| All classification approaches such Statistical, machine learning and neural network are covered in this volume. Contributions have been integrated to provide an objective assessment of the potential for machine learning algorithms in solving significant commercial and industrial problems, widening the foundation for exploitation of these and related algorithms.
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Ebook Free Download : Machine Learning in Document Analysis and Recognition | The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world including pointers to challenges and opportunities for future research directions. The main goals of the book are identification of good practices for the use of learning strategies in DAR, identification of DAR tasks more appropriate for these techniques, and highlighting new learning algorithms that may be successfully applied to DAR
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