Pattern Classification Using Ensemble Methods

A stunning non-fiction book illuminating the secrets of animal camouflage with a search-and-find twist. Now you see them, now you don't. Cloaked in a riot of colour, pattern and texture are a dozen cr

Radiation Detection: Concepts, Methods, and Devices provides a modern overview of radiation detection devices and radiation measurement methods. The book topics have been selected on the basis of the

How to use the Design Thinking Tools A practical guide to make innovation happen The Design Thinking Toolbox explains the most important tools and methods to put Design Thinking into action. Based on the largest international survey on the use of design thinking, the most popular methods are described in four pages each by an expert from the global Design Thinking community. If you are involved in innovation, leadership, or design, these are tools you need.Simple instructions, expert tips, templates, and images help you implement each tool or method. Quickly and comprehensively familiarize yourself with the best design thinking toolsSelect the appropriate warm-ups, tools, and methodsExplore new avenues of thinkingPlan the agenda for different design thinking workshopsGet practical application tips The Design Thinking Toolbox help innovators master the early stages of the innovation process. Its the perfect complement to the international bestseller The Design Thinking Playbook.?

Modern power and energy systems are characterized by the wide integration of distributed generation, storage and electric vehicles, adoption of ICT solutions, and interconnection of different energy carriers and consumer engagement, posing new challenges and creating new opportunities. Advanced testing and validation methods are needed to efficiently validate power equipment and controls in the contemporary complex environment and support the transition to a cleaner and sustainable energy system. Real-time hardware-in-the-loop (HIL) simulation has proven to be an effective method for validating and de-risking power system equipment in highly realistic, flexible, and repeatable conditions. Controller hardware-in-the-loop (CHIL) and power hardware-in-the-loop (PHIL) are the two main HIL simulation methods used in industry and academia that contribute to system-level testing enhancement by exploiting the flexibility of digital simulations in testing actual controllers and power equipment.

Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models available for estimating DNA frequencies or likelihood ratios. Following a chapter on procedures for validating databases, the text presents overviews and performance assessments of both modern sampling uncertainty methods and current paternity testing techniques, including new guidelines on paternity

The field of forensic DNA analysis has grown immensely in the past two decades and genotyping of biological samples is now routinely performed in human identification (HID) laboratories. Application areas include paternity testing, forensic casework, family lineage studies, identification of human remains, and DNA databasing. Forensic DNA Analysis: Current Practices and Emerging Technologies explores the fundamental principles and the application of technologies for each aspect of forensic DNA analysis. The book begins by discussing the value of DNA evidence and how to properly recognize, document, collect, and store it. The remaining chapters examine: The most widely adopted methods and the best practices for DNA isolation from forensic biological samples and human remainsStudies carried out on the use of both messenger RNA and small (micro) RNA profilingReal-time polymerase chain reaction (PCR) methods for quantification and assessment of human DNA prior to genotypingCapillary electr

Kitchen Science Lab is a deluxe component and activity-filled science kit that builds on the brand's best-selling core category of delivering fun experiments to curious kids. Using common ingredients

冬天，一隻獅子救了一隻受傷的小鳥。牠們一起度過寒冷的日子，分享寧靜與溫暖。當春天到來，鳥兒飛走了，留下寂寞與空盪。獅子學會了等待，也學會接受別離。直到秋風再起，熟悉的影子又回到窗前——朋友回來了。這本書用極少的文字，傳達友情與季節更迭的力量。每一頁都像一次深呼吸，溫柔而真實。Un lion découvre un oiseau blessé, le soigne durant les mois d'hiver. Les deux amis apprennent à vivre ensemble.Mais, un jour, le printemps arrive, l'oiseau s'éloigne pour retrouver ses semblables. « C'est la vie » dit le Lion. Il apprend alors à ressentir la solitude, les chaussons vides et l'ennui à plein temps. On tourne les pages sans faire de bruit. On lève les yeux au ciel, l'oiseau revient et la joie est là, à plein coeur. « Ensemble, nous n'aurons pas froid cet hiver » conclut le Lion.

What does it mean to be queer in a Confucian society in which kinship roles, ties, and ideologies are of such great importance? This book makes sense of queer cultures in China—a country with one of the largest queer populations in the world—and offers an alternative to Euro-American blueprints of queer individual identity. This book contends that kinship relations must be understood as central to any expression of queer selfhood and culture in contemporary cultural production in China. Using a critical approach—“queering Chinese kinship”—Lin Song scrutinizes the relationship between queerness and family relations, and questions Eurocentric queer culture’s frequent assumption of the separation of queerness from blood family.Offering five case studies of queer representations across a range of media genres, this book also challenges the tendency in current scholarship on Chinese and East Asian queerness to understand queer cultures as predominantly counter-mainstream, marginal, and unde

Eros of International Relations: Self-Feminizing and the Claiming of Postcolonial Chineseness is a distinctive work that explores the much-neglected Chinese perspective in broader international relations theory. Using the concept of “self-feminizing”―adoption of a feminine identity to oblige and achieve mutual caring as a relational strategy―this book argues that postcolonial actors have employed gendered identities in order to survive the squeezing pressure of globalization and nationalism in their own ways. Sovereign actors who have historically claimed to act on behalf of Chineseness have taken advantage of the images of femininity thrust upon them by transnational capitalism, the media, or intellectual thought.Shih illustrates the feminist potential for emancipation through a range of empirical examples, showing that women of various Chinese characteristics, acting on behalf of their nation, city, and corporations, reject the masculinization of their groups of belonging as remedy f

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Named with a simple word meaning ‘cloth’, NUNO is one of Japan’s most important textile-design companies. Founded in 1984 by the legendary Junichi Arai and the company’s current director, Reiko Sudo, it is recognized as one of the world’s most innovative textile producers. Known for weaving together tradition and cutting-edge technology, NUNO designers are inspired by the past, present and future, integrating unexpected elements, such as paper or feathers or aluminium, with industrial methods, such as spatter-plating and chemical etching.All NUNO textiles – more than 2,500 have been created – are produced in Japan and are usually the handiwork of an individual craftsperson. Each bolt of cloth has a story to tell. Though their textiles appear regularly in books, textile exhibitions and museum collections, a comprehensive NUNO monograph has not existed - until now.Featuring the most outstanding, influential or experimental fabrics, the book is organized into seven chapters, each based on

From the mysteries and wonders of the natural world to man-made marvels in science, technology, and innovation, planet Earth is full of fun and fascinating things to discover at any age. Although most knowledge can be obtained online today, there is nothing quite like the charm of learning from a book packed with witty writing and illustrations like Diarmuid Ó Catháin’s compelling series on Little-known Facts. 9789887972600 Animals 動物The Animals edition presents some of the most intriguing details about the creatures that inhabit our land, air, and sea using clever rhymes and visuals that make for an enjoyable and eye-opening reading experience.9789887972648 The Human Body 人體奧秘Brimming with character, The Human Body edition presents readers with the unique opportunity to explore the extraordinary and unexpected traits and biology of people in an easy-to-remember and visually delightful way.

Connecting theory with real-life applications, this is the first ever textbook to equip students with a comprehensive knowledge of all the key concepts in bionanotechnology. By bridging the interdisciplinary gap from which bionanotechnology emerged, it provides a systematic introduction to the subject, accessible to students from a wide variety of backgrounds. Topics range from nanomaterial preparation, properties and biofunctionalisation, and analytical methods used in bionanotechnology, to bioinspired and DNA nanotechnology, and applications in biosensing, medicine and tissue engineering. Throughout the book, features such as 'Back to basics' and 'Research report' boxes enable students to build a strong theoretical knowledge and to link this to practical applications and up-to-date research. With over 200 detailed, full-colour illustrations and more than 100 end-of-chapter problems, this is an essential guide to bionanotechnology for any student studying this exciting, fast-developin

Debates about the origins and effects of European rule in the non-European world have animated the field of economic history since the 1850s. This pioneering text provides a concise and accessible resource that introduces key readings, builds connections between ideas and helps students to develop informed views of colonialism as a force in shaping the modern world. With special reference to European colonialism of the nineteenth and twentieth centuries in both Asia and Africa, this book:• critically reviews the literature on colonialism and economic growth;• covers a range of different methods of analysis;• offers a comparative approach, as opposed to a collection of regional histories, deftly weaving together different themes.With debates around globalization, migration, global finance and environmental change intensifying, this authoritative account of the relationship between colonialism and economic development makes an invaluable contribution to several distinct literatures in ec

This book introduces a new approach to embedded development, grounded in modern, industry-standard JavaScript. Using the same language that powers web browsers and Node.js, the Moddable SDK empowers IoT developers to apply many of the same tools and techniques used to build sophisticated websites and mobile apps. The Moddable SDK enables you to unlock the full potential of inexpensive microcontrollers like the ESP32 and ESP8266.Coding for these microcontrollers in C or C++ with the ESP-IDF and Arduino SDKs works for building basic products but doesn't scale to handle the increasingly complex IoT products that customers expect. The Moddable SDK adds the lightweight XS JavaScript engine to those traditional environments, accelerating development with JavaScript while keeping the performance benefits of a native SDK. Building user interfaces and communicating over the network are two areas where JavaScript really shines.IoT Development for ESP32 and ESP8266 with JavaScript shows you how t

Plants-Only Kitchen offers an explosion of flavour, with more than 70 vegan recipes that work around your lifestyle. With symbols flagging whether recipes are high-protein, take less than 15 minutes, or are suitable for meal prep and batch cooking, Plants-Only Kitchen explains how best to make a vegan diet work for you. No fuss, no fancy ingredients - just fantastic food using plants, only. Gaz Oakley (aka @avantgardevegan) has amassed well over a million followers on social media with his exciting vegan dishes, which emphasize that a plant-based diet doesn't mean missing out on taste. In Plants-Only Kitchen, Gaz's recipes are easier than ever before - following his step-by-step instructions, tips and advice, anyone can cook great vegan food.

《我是數學明星！》系列作者群是由新加坡國立教育學院(NIE)教授們所組成，系列書以故事形式呈現具有挑戰性的數學難題，透過引人入勝的故事情節，並使用各種數學啟發式教學技巧，逐步描述並帶領讀者解決難題，這些教學技巧也是新加坡知名的數學教學的一部分。透過插圖和有趣的故事情節，小讀者將在學習數學的路上受到啟發，提升理解力、學習數學表示和解決有趣的數學問題！本書附有知名數學教師Yeap Ban Har 博士所提供的課後習題與解答。The I'm a Math Star! series comprises challenging Math puzzles, presented in story form. Puzzles are described and then solved, step-by-step, through an engaging storyline, and using various Math heuristic techniques that are also taught as part of the world renowned Singapore Math curriculum. Through illustrations and an engaging storyline, children will learn Math heuristics, and be inspired to persevere in understanding, representing, and solving fun and intriguing Math problems!

“For myself, however, it is the human element, the recollected words,the remembered faces, which give life to the printed record.” James Hayes’s many writings have made a major contribution to kn

This practical guide explains how to take accurate measurements, introduces key tools and takes the reader from simple pattern-cutting ideas to more advanced creative methods. Step-by-step illustratio

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

This book provides a complete and reasonably self-contained account of a new classification of connected Lie groups into two classes. The first part describes the use of tools from potential theory to establish the classification and to show that the analytic and algebraic approaches to the classification are equivalent. Part II covers geometric theory of the same classification and a proof that it is equivalent to the algebraic approach. Part III is a new approach to the geometric classification that requires more advanced geometric technology, namely homotopy, homology and the theory of currents. Using these methods, a more direct, but also more sophisticated, approach to the equivalence of the geometric and algebraic classification is made. Background material is introduced gradually to familiarise readers with ideas from areas such as Lie groups, differential topology and probability, in particular, random walks on groups. Numerous open problems inspire students to explore further.

Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty.This book focuses on classification--allocati

This book covers tools and techniques used for developing mathematical methods and modelling related to real-life situations. It brings forward significant aspects of mathematical research by using di

This book is written for engineers and other practitioners using numerical methods in their work and serves as a textbook for courses in applied mathematics and numerical analysis.

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

This book aims at transient analysis of welding thermal cycles using ANSYS explaining basic size of the element, welding speed, distance moved by the arc, and methods of simplification of the complex

With the most comprehensive and up-to-date overview of structure-based drug discovery and using experimental and computational approaches, this book covers principles, methods, applications, and emerg

This introduction to the singularly perturbed methods in the nonlinear elliptic partial differential equations emphasises the existence and local uniqueness of solutions exhibiting concentration property. The authors avoid using sophisticated estimates and explain the main techniques by thoroughly investigating two relatively simple but typical non-compact elliptic problems. Each chapter then progresses to other related problems to help the reader learn more about the general theories developed from singularly perturbed methods. Designed for PhD students and junior mathematicians intending to do their research in the area of elliptic differential equations, the text covers three main topics. The first is the compactness of the minimization sequences, or the Palais-Smale sequences, or a sequence of approximate solutions; the second is the construction of peak or bubbling solutions by using the Lyapunov-Schmidt reduction method; and the third is the local uniqueness of these solutions.

Pattern Cutting for Menswear is a comprehensive guide to cutting patterns, from basic skills to advanced techniques. With over twenty complete patterns, including new jacket and trouser styles, this r

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an onli

This textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, an

Voltaire's correspondence has been described as his 'greatest masterpiece' – but if it is, it is also his least studied. One of the most prodigious correspondences in Western literature, it poses significant interpretative challenges to the critic and reader alike. Considered individually, the letters present a series of complex, subtle, and playful literary performances; taken together, they constitute a formidable, and even forbidding, ensemble. How can modern readers even attempt to understand such an imposing work? This Element addresses this question through the use of digital reading methods and resources that enhance our understanding of this complex literary object and its relationship to Voltaire's more canonical literary output, and indeed to the Enlightenment world at large. Nicholas Cronk and Glenn Roe provide scholars and students with new pathways into this particular corpus, using tools and approaches that can then be applied to correspondences and life-writing texts in

This new edition of a foundational text presents a contemporary review of cladistics, as applied to biological classification. It provides a comprehensive account of the past fifty years of discussion on the relationship between classification, phylogeny and evolution. It covers cladistics in the era of molecular data, detailing new advances and ideas that have emerged over the last twenty-five years. Written in an accessible style by internationally renowned authors in the field, readers are straightforwardly guided through fundamental principles and terminology. Simple worked examples and easy-to-understand diagrams also help readers navigate complex problems that have perplexed scientists for centuries. This practical guide is an essential addition for advanced undergraduates, postgraduates and researchers in taxonomy, systematics, comparative biology, evolutionary biology and molecular biology.

This new edition of a foundational text presents a contemporary review of cladistics, as applied to biological classification. It provides a comprehensive account of the past fifty years of discussion on the relationship between classification, phylogeny and evolution. It covers cladistics in the era of molecular data, detailing new advances and ideas that have emerged over the last twenty-five years. Written in an accessible style by internationally renowned authors in the field, readers are straightforwardly guided through fundamental principles and terminology. Simple worked examples and easy-to-understand diagrams also help readers navigate complex problems that have perplexed scientists for centuries. This practical guide is an essential addition for advanced undergraduates, postgraduates and researchers in taxonomy, systematics, comparative biology, evolutionary biology and molecular biology.

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kep

This Element provides a basic introduction to sentiment analysis, aimed at helping students and professionals in corpus linguistics to understand what sentiment analysis is, how it is conducted, and where it can be applied. It begins with a definition of sentiment analysis and a discussion of the domains where sentiment analysis is conducted and used the most. Then, it introduces two main methods that are commonly used in sentiment analysis known as supervised machine-learning and unsupervised learning (or lexicon-based) methods, followed by a step-by-step explanation of how to perform sentiment analysis with R. The Element then provides two detailed examples or cases of sentiment and emotion analysis, with one using an unsupervised method and the other using a supervised learning method.

Clear, comprehensive, and trusted, Bryman's Social Research Methods has guided over a quarter of a million students through their research methods course and student research project. The thoroughly u

This book focuses on the practical application of statistical techniques for assessing measurement invariance with less emphasis on theoretical development or exposition. Instead, it describes the methods using a pedagogical framework followed by extensive illustrations that demonstrate how to use software to analyze real data. The chapters illustrate the practical methods to assess measurement invariance and shows how to apply them to a range of data. The computer syntax and data sets used in this book are available for download here: people.umass.edu/cswells.