Machine Theory

Today, Internet of Things (IoT) is ubiquitous as it is applied in practice in everything from Industrial Control Systems (ICS) to e-Health, e-commerce, Cyber Physical Systems (CPS), smart cities, smart parking, healthcare, supply chain management and...

This book focuses on the application of soft computing in materials and manufacturing sectors with the objective to offer an intelligent approach to improve the manufacturing process, material selection and characterization techniques for developing...

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Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks...

Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT)...

Computational science is a rapidly growing multidisciplinary field concerned with the design, implementation, and use of mathematical models to analyze and solve real-world problems. It is an area of science that spans many disciplines and which involves...

Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods,...

Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE...

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost...

A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system’s perceived data, assisting scientists in the generation or...

The purpose of this edited book is to provide the relevant technologies and case studies in a concise format that will simplify and streamline the processing of blockchain. The goal is for the contents of this book to change the way business...

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep...

The Oxford Topology Symposium was held in June 1989. Since techniques from topology and category theory have been used increasingly by theoretical computer scientists in recent years, it was decided to hold a special session at the symposium which would...

Logicians have developed beautiful algorithmic techniques for the construction of computably enumerable sets. This textbook presents these techniques in a unified way that should appeal to computer scientists. Specifically, the book explains, organizes,...

Spin glass models were introduced by physicists in the 1970s to model the statistical properties of certain magnetic materials. Over the last half century, these models have motivated a blossoming line of mathematical work with applications to multiple...

Probably almost correct (PAC) bounds have been an intensive field of research over the last two decades. Hundreds of papers have been published and much progress has been made resulting in PAC-Bayes bounds becoming an important technique in machine...

Reinforcement learning agents have demonstrated remarkable achievements in simulated environments. Data efficiency, however, significantly impedes carrying this success over to real environments. The design of data-efficient agents that address this...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781638282082Author Brandon AmosFormat PaperbackPage Count 156Imprint now publishers IncPublisher now publishers IncWeight(grams) 230g

Deep learning (DL) has proven to be a highly effective approach for developing models in diverse contexts, including visual perception, speech recognition, and machine translation. Automated deep learning (AutoDL) endeavors to minimize the need for human...

This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789815079203Author Basant VermaFormat PaperbackPage Count 240Imprint Bentham Science PublishersPublisher Bentham Science PublishersWeight(grams) 585g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783903331174Author Steven CooperFormat PaperbackPage Count 182Imprint Data SciencePublisher Data ScienceWeight(grams) 204gDimensions(mm) 203mm * 127mm * 11mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781913397043Author Genics TrustFormat PaperbackPage Count 194Imprint Thomas William SwainPublisher Thomas William SwainWeight(grams) 290gDimensions(mm)...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781681088556Author Osondu OguikeFormat PaperbackPage Count 344Imprint Bentham Science PublishersPublisher Bentham Science PublishersWeight(grams) 178g

Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduces the rich literature in this area, as well as equips the reader with the tools and techniques...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647483197Author Herbert JonesFormat HardbackPage Count 182Imprint Bravex PublicationsPublisher Bravex PublicationsWeight(grams) 612gDimensions(mm) 254mm...

Multi-armed bandits is a rich, multi-disciplinary area that has been studied since 1933, with a surge of activity in the past 10-15 years. This is the first monograph to provide a textbook like treatment of the subject.The work on multi-armed bandits can...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781601983787Author Christopher J.C. BurgesFormat PaperbackPage Count 106Imprint now publishers IncPublisher now publishers IncWeight(grams)...

Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory. In contrast to traditional structured models like Markov random fields, which become intractable and hard to...

Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be best expressed...

The two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024, and...

Many modern methods for prediction leverage nearest neighbour search to find past training examples most similar to a test example, an idea that dates back in text to at least the 11th century and has stood the test of time. This monograph explains the...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783903331563Author Steven CooperFormat HardbackPage Count 182Imprint Data SciencePublisher Data ScienceWeight(grams) 327gDimensions(mm) 203mm * 127mm * 14mm

This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781680837889Author Peter KairouzFormat PaperbackPage Count 224Imprint now publishers IncPublisher now publishers IncWeight(grams) 322g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781601985583Author Mauricio A. AlvarezFormat PaperbackPage Count 86Imprint now publishers IncPublisher now publishers IncWeight(grams) 135gDimensions(mm)...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781601986986Author Fredrik LindstenFormat PaperbackPage Count 158Imprint now publishers IncPublisher now publishers IncWeight(grams) 232gDimensions(mm)...

Over the last decade, the long-running endeavour to automate high-level processes in machine learning (ML) has risen to mainstream prominence. Beyond this, an even loftier goal is the pursuit of autonomy, which describes the capability of the system to...

Regression analysis is a key area of interest in the field of data analysis and machine learning which is devoted to exploring the dependencies between variables, often using vectors. The emergence of high dimensional data in technologies such as...