Pattern Classification Using Ensemble Methods

Beatrice dreams of becoming a tree. She grows roots and leaves, and she stretches her branches toward the sky. From Joyce Hesselberth, the award-winning creator of Mapping Sam and Pitter Pattern, Beat

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

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.

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.

When Appleton Elementary''''s new school board president starts using her position to line her own pockets, it''''s up to student sleuths, supported by a passionate librarian, to uncover the truth in

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

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.

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.

Down where worms wriggle and microbes squirm, there's a whole world waiting to be discovered...Under Your Feet delves beneath the Earth's surface and explores the diverse wonders hidden there. Encounter creatures of the deep and marvel at the mind-boggling size of the humongous fungus - the biggest organism in the world. Learn how one handful of ordinary soil contains more organisms than there are people on Earth, and carry out experiments using dirt from your own back garden.Under Your Feet offers you the opportunity to expand your knowledge of the natural world and soil-dwelling creatures big and small. Bursting with colorful illustrations and photography, this is the perfect book for budding young plant experts, animal fanatics, and geologists, and anyone who is curious about the ground we walk on.

什麼是生物醫學資訊學專家？他們的工作做些什麼呢？作者Kevin曾是一個像是你我一樣的孩子，但長大後他成為一名生物醫學資訊學專家！Kevin從小就熱愛科學和動物，這種熱情加上他的工程學天賦，使他成為一名專門研究生物醫學資訊學的小兒科醫生——使用資訊科學來改善醫療保健。Who Me? 系列是由科學家本人和范德比大學 (Vanderbilt University)的合著者一同撰寫。透過科學家們鼓舞人心的的傳記，讓小讀者了解到，科學家都是像我們一樣的普通人，因為對學習和發現新事物的熱愛，一路上努力學習，並為自己創造機會並爭取成為科學家的機會，在了解科學家的成長故事的過程中，讀者除了能從中認識基本的科學概念，也能認識科學家現在所從事的尖端研究。What is a biomedical informatics expert? What does he or she do?Meet Kevin, a kid like you and me, who grew up to become a biomedical informatics expert! Kevin grew up loving science and caring for animals, and this passion, combined with his engineering aptitude, turned him into a pediatrician specializing in biomedical informatics — using computers and data science to improve health care.The Who Me? series features inspirational biographies of scientists who young readers will be able to identify with as people like themselves. Written by the scientists themselves and co-authors from Vanderbilt University, the books are designed to help young readers understand that sc

包含1000個與STEM相關的名詞、動詞和形容詞，幫助孩子理解重要的科學概念同時擴充詞彙量，是孩子開始STEM教育的好幫手。· 科學主題多元化，豐富孩子的詞彙量。· 激發孩子思考、說話和早期科學技能。· 豐富精美的插圖，圖文並茂解釋字詞。幫助孩子探索科學概念，擴充中英科學詞彙量！這本書會是孩子開始STEM教育的好幫手。孩子開始在學校剛學習STEM的初期，可能會遇到很多新的單詞。STEM課程中會使用大量的術語：科學儀器的名稱，無形東西的名稱（例如力），以及描述物料特定屬性的名詞（例如「不透明的」），這些對孩子來說都是全新的事物。本書包含孩子在入學首數年可能會遇到的主題和詞語，也包含了許多令孩子着迷的主題，以及一些在我們日常生活中會碰到的STEM主題。l 包含各種與STEM相關的名詞、動詞和形容詞，幫助孩子理解重要的科學概念。l 29個和STEM相關的主題，由聲音、人體、生態系統，以至天氣、數量計算、機械等，豐富孩子的科學詞彙量，提高孩子的閱讀和寫作能力。l 書中設有各種趣味提問，讓孩子在頁面上尋找答案，啟發他們思考及討論，有助發展語言能力。本書的1000個詞彙共分為29個主題，包括l Hot and cold熱和冷l Seasons季節l Sound聲音l Machines機械l Space太空l Moon landing登陸月球l Transport交通工具l Vehicles運輸工具l Weather天氣l At the doctor's看醫生l Human body人體l Materials物料l Underground在地底下l Comparisons比較l Junk廢料l Measuring量度l Up high在高處l Long ago在很久以前l Plants植物l Playground forces遊樂場的力學l Laboratory在實驗室裏l Ecosystems生態系統l Classification of animals動物分類l Water水l Experiments實驗l Mixing and cooking混合與烹飪l Light光l Adding and subtracting加和減l Sharing and grouping分享及分組

2022年藍彼得圖書獎入圍書！以趣味生動的漫畫形式，圖解石器時代史前人類的食衣住行與生存智慧 。翻開本書，加入你的穴居朋友，一同打獵、製作生活工具，展開石器時代精彩刺激的一天吧！Longlisted for Blue Peter Book Awards 2022Set in Northern Europe around 18,000 years ago, this fascinating information book explores a day in the life of a typical Stone-Age child. Auri lives with her extended family in a cave, which shelters them from bad weather, provides protection from dangerous animals and is close to the river, where they gather fresh water and food.Readers will learn key skills alongside Auri, as her dad shows her how to make and set a fish trap, while Grandpa demonstrates how to fashion a sharp spear from sticks and flint. She explains how to track animals by looking for footprints, nibbled plants and droppings, and make fire using a few simple handmade tools.This fictional account of a Stone-Age family enables young readers to imagine what life may have been like for a child of their age. The comic strip illustrations are colourful, humorous and informative, and are accomp

莫內喜歡畫光，特別是清晨河面的光。他不跟從傳統的畫法，而是用自己的方式，捕捉眼前轉變的景色。一開始沒有人懂他的畫，但他不氣餒，持續創作，最後讓大家看見畫裡的光和感覺。這本繪本帶我們認識這位愛畫光的畫家，也鼓勵我們用自己的眼睛看世界。A new picture book about the iconic artist Claude Monet, from the Caldecott-Award winning team that created The Noisy Paint Box.Claude Monet is one of the world's most beloved artists--and he became famous during his own lifetime. He rejected a traditional life laid out clean and smooth before him. Instead he chose a life of art. But not just any art: a new way of seeing that came to be called impressionism.Monet loved to paint what he saw around him, particularly the Seine River. He was initially rejected for using bright colors, tangled brushstrokes--condemned for his impressions. But soon art dealers and collectors were lining up each morning to see as Monet saw. Monet, however, waited only for the light. The changing light...each morning he had a dozen canvases on hand to paint a dozen different moments. His brush moved back and forth, chasing sunlight--putting in the

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.

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

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

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.

The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

A groundbreaking argument about the link between autism and ingenuityWhy can humans alone invent? In The Pattern Seekers, Cambridge University psychologist Simon Baron-Cohen makes a case that autism i

The book has evolved and adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced studen

Using numerical integration, it is possible to predict the individual motions of a group of a few celestial objects interacting with each other gravitationally. In this introduction to the few-body problem, a key figure in developing more efficient methods over the past few decades summarizes and explains them, covering both basic analytical formulations and numerical methods. The mathematics required for celestial mechanics and stellar dynamics is explained, starting with two-body motion and progressing through classical methods for planetary system dynamics. This first part of the book can be used as a short course on celestial mechanics. The second part develops the contemporary methods for which the author is renowned - symplectic integration and various methods of regularization. This volume explains the methodology of the subject for graduate students and researchers in celestial mechanics and astronomical dynamics with an interest in few-body dynamics and the regularization of t

What do entrepreneurs do? In a comprehensive and detailed exploration using three perspectives – behavior, practice and process – this Research Handbook demonstrates specific methods for answering tha

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospa

This book provides a straightforward, student-focused introduction to doing mixed methods research, covering everything from why and when mixed methods is appropriate, as well as how to use qualitativ

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras in several projects.Explains the fundamentals of Artificial Neural Networks (ANNs).Presents several examples and applications of ANNs.Learning the most popular DL algorithms features.Explains and provides examples for the DL algorithms that are presented in this book.Analyzes the DL network's parameter and hyperparameters.Reviews state-of-the-art DL examples.Necessary and main steps for DL modeling.Implements a Virtual Assistant Robot (VAR) using DL methods.Necessary and fundamental information to choose a proper DL algorithm.Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry

Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about