Machine Learning Algorithms for Problem Solving in Computational Applications

The book presents recently developed efficient meta-heuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be us

This volume presents a comprehensive treatment of Riemannian geometry as a mathematical and computational framework for many problems in machine learning, statistics, optimization, and computer vision

A new, intuitive approach to machine learning, covering fundamental concepts and real-world applications, with practical MATLAB-based exercises.

This book provides a concept-based problem-solving learning approach to mastering practical spatial analysis tasks. It draws from statistics, spatial statistics, visualization, and computational metho

"This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying form

"The only book to approach enzyme kinetics with a problem-solving focus, for practical applications in the food, pharmaceutical, and fine chemistry industry"--

Learning, Problem Solving, and Mindtools is inspired by the substantial body of learning research by David H. Jonassen in the areas of mind tools and problem solving. The focus of the volume is on ed

"This book reviews distance learning programs and software systems, outlining computational methods, algorithms, implemented prototype systems, and applications of open and distance learning"--Provide

With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accom

Breakthrough Problem Solving with Action Learning explores why and how action learning groups have been so successful and creative in solving complex problems. The text begins by briefly reviewing the

This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and

PData Structures and Problem Solving Using C++ provides a practical introduction to data structures and algorithms from the viewpoint of abstract thinking and problem solving, as well as the use of C+

Providing a unified coverage of the latest research and applications methods and techniques, this book is devoted to two interrelated techniques for solving some important problems in machine intellig

Learning to spell really can be fun, especially when you have an amazing Spelling Machine, a 2-book series for preschoolers ages 4-6 to learn spelling and start to read. Within each scene there are five objects to find and learn to spell. Flip out your magical spelling machine contained inside the book, dial in the letters of each word and lift the flap to check your answer!※無音檔英文學習遊戲書有了spelling machine的神奇轉盤，拼單字，也可以變得超級有趣！全新包裝，內容再升級知名親子叢書作家廖彩杏推薦：“ Spelling Machine：Make Spelling Fun！”是一本寓教於樂的遊戲書，讓孩子從小小的拼字遊戲，得到樂趣。本套書以「度假」為主題，分6大場景，共收錄30個常用英文單字。在不同場景，小朋友要先動手動眼，找一找不同物件在哪裡？並學會認識這些物件的英文，學會認字後，用前方的轉盤練習拼字。剛開始認字、學習自然發音的小讀者，都能從遊戲中開心學習！ 【玩法說明】1.第一步，先把紅圈順時針轉到「start」處。2.假設今天要讓孩子熟悉crab的拼法，就先大聲念出crab，讓孩子聽聽看，這個單字，是由哪些字母所組成的。3.現在要拼出crab，就把第一個字母c，順時針轉到start處。4.再把第二個字母r，撥到start處，接下來的字母以此類推。5.最後.恭喜，完成了！請孩子打開翻頁機關確認答案，看到「crab」了嗎？ 是不是好像變魔術一樣，好神奇呢？拼字，也可以這麼有趣！

A charming picture book about a single dad (a rarity in the picture book world) and his little boy, who turns out to be very wise. From their secret handshake to their mutual problem-solving, this father and son have winning ways.Written with lessons that apply to any family with young children, the book is distinctively told from a father's perspective, and built on how a son and dad listen to and learn from each other. This is a tale of how to conquer frustration no matter what the problem.

Your home is the perfect place for learning, fun, and sibling bonding!The Happy Learning Book for Siblings features 50 hands-on activities you can conduct in the comfort of your home. They are divided

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search

An indispensable guide enabling business and management students to develop their professional competences in real organizational settings, this new and fully updated edition of Problem Solving in Organizations equips the reader with the necessary toolkit to apply the theory to practical business problems. By encouraging the reader to use the theory and showing them how to do so in a fuzzy, ambiguous and politically charged, real-life organizational context, this book offers a concise introduction to design-oriented and theory-informed problem solving in organizations. In addition, it gives support for designing the overall approach to a problem-solving project as well as support for each of the steps of the problem-solving cycle: problem definition, problem analysis, solution design, interventions, and evaluation. Problem Solving in Organizations is suitable for readers with a wide range of learning objectives, including undergraduates and graduates studying business and management, M

This book presents a variety of approaches and applications for using data mining and machine learning techniques in the context of event mining. It offers an introductory overview on recent developme

This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric conve

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors,

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

The interplay between optimization and machine learning is one of the most importantdevelopments in modern computational science. Optimization formulations and methods are proving tobe vital in design

Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for c

This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task. Since current methods typi

Numerical Geometry of Images examines computational methods and algorithms in image processing. It explores applications like shape from shading, color-image enhancement and segmentation, edge integr

Mechanisms are fundamental components of machines. They are used to transmit forces and moments and to manipulate objects in industrial machinery, robots, automobiles, aircraft, mechatronics devices and biomechanical systems. A knowledge of the kinematic and dynamic properties of mechanisms is essential for their design and control. This book describes methods and algorithms for the analysis of kinematic systems. Beginning with basic concepts, the book then discusses a variety of problem-solving approaches and computational techniques. Its distinctive feature is its focus on the contour equation as a powerful, computationally efficient tool that will help the reader to design complex spatial mechanisms. This handy text will be useful for senior or graduate students, researchers and practising engineers working in robotics, vehicle dynamics, mechatronics and machine design.

This book introduces the newly developed Extreme Learning Machine (ELM) including its theories and learning algorithms. ELM is a unified framework of broad type of generalized single-hidden layer feed

本書是一則節奏明快、幽默十足的現代童話。故事中的小熊只想安靜地讀他剛拿到的新書，卻從早到晚不停有人敲門——熟悉的童話角色一個接一個登場，只為了討一碗香噴噴的粥。門鈴聲此起彼落，耐心也逐漸被消磨殆盡。當最不受歡迎的角色現身，小熊終於得想個辦法，替自己找回片刻清靜。本書由 Laura Mucha 與插畫家 Marc Boutavant 攜手創作，以重複句型與誇張情境帶出閱讀的樂趣與解決問題的巧思。畫面細節豐富，笑點自然流露，是一本能讓孩子與大人一同會心一笑的圖畫書。Porridge Please!A laugh-out-loud, modern fairy tale featuring all our favourite characters and one little bear who just wants the hullabaloo to stop so he can read his book in peace!All day long, fairy tale characters have been knocking on Bear's door. They all want his scrumptious porridge. But Bear just wants to read his brand new book.Knock, knock, knock! Porridge, please!Who’s at the door now? No, no, no… not the Big Bothersome Wolf!A riotously funny modern fairy tale by award-winning Laura Mucha and Marc Boutavant about problem solving, the love of books … and porridge!

Read five Elephant & Piggie adventures in this special bind-up collection that celebrates problem solving! Featuring pop-out puppets so readers can continue the fun with stories of their own.Mo Willems, award-winning, New York Times best-selling creator of The Pigeon, Knuffle Bunny, and Unlimited Squirrels, presents best friends Elephant and Piggie.Gerald is careful. Piggie is not.Piggie cannot help smiling. Gerald can.Gerald worries so that Piggie does not have to.Gerald and Piggie are best friends.Stories included in this bind-up collection:*There is a Bird on Your Head!*Are You Ready to Play Outside?*Elephants Cannot Dance!*Should I Share My Ice Cream?*I Will Take a Nap!

Perfect for children ages 3-6 who are learning about their feelings, Learning Kindness My Feelings Sticker Book features over 50 reusable, vinyl-cling stickers, a dry-erase marker, and tons of fun activities to help kids explore their emotions.This engaging activity book is packed with puzzles and exercises that teach kids how to understand emotions in themselves and others. Kids can use the stickers with the guided activities to identify and express their feelings, recognize facial expressions and body language, and learn how to regulate their emotions. This book is an excellent tool for parents and educators to deepen conversations with children around social and emotional thinking.

Preschoolers are introduced to core science concepts with this playful format featuring 20 hands-on activities that use everyday household materials, including a vinegar volcano, a hula hoop count, and a kitchen sink or swim experiment. In this fourth book in the Busy Little Hands series, preschoolers get ready for a science adventure! Preschoolers wonder and explore with 20 hands-on experiments using everyday household objects and making daily activities such as snack time and play time into learning opportunities. Each play activity demonstrates a simple principle of physics, earth science, chemistry, or biology, including the Kitchen Sink or Float (demonstrating density), the Vinegar Volcano (pressure) and Blooming Colors (chromatography). Featuring bright, easy-to-follow photos specially designed for pre-readers, this book is packed with learning fun, plus it sets the groundwork for science success in kindergarten and beyond.

風靡全球的兒少／成人科普繪本物理學家也讚嘆，量子物理原來可以這樣理解！★獲獎紀錄豐富－2018年英國少年雜誌最佳兒童設計／圖書銀獎 (Silver for Best Designed/Illustrated Book for Children)－2018年英國圖書設計與製作獎 (British Book Design and Production Awards)－入圍2019美國科學促進會／速霸陸汽車公司頒發的科學圖書優等獎（中級科學圖書類）(the 2019 AAAS/Subaru SB&F Prize for Excellence in Science Books (Middle Grades Science Book category))－獲選為「速霸陸愛學習計畫」(Subaru Loves Learning Program) 教材圖書，被開發為免費教材在全美進行推廣－獲選第79梯次「好書大家讀」 優良少年兒童讀物★各國爭相出版西班牙文、英文、法文、義大利文、德文、簡體中文、韓文、俄文等多種語言版本陸續出版，深受各國讀者喜愛。★亞馬遜網路書店評價 4.7 顆星，盛讚如潮！「圖畫可愛有趣，文字清晰易讀，作為一名科學家，我發現了以前我不知道的事情。」──亞馬遜讀者 5 星評論「如果你想讓孩子變聰明，這本書是必須的！」──亞馬遜 5 星評論★當當網好評率100%，點讚數直逼2萬！「不要低估小學生的理解力，我家那位竟然看得津津有味，還說要去查查普朗克是如何攻克什麼的，總之把老母親哄得一愣一愣，這本書他非常喜歡。」──當當網 10 星評論「這本書每一頁都有愛因斯坦老師給孩子講一些物理知識，兒子卡住不懂的時候會問我，其實我有些知識也是跟他一起讀這本書理解的。」──當當網 10 星評論【本書簡介】我們周圍的一切，包含我們自己，都是由小於奈米的微小顆粒組成。量子物理學是這些粒子的科學，沒有它，我們的電子設備都不存在。量子粒子的特性和行為很奇妙，和我們日常生活中所見的物體完全不同。透過這本豐富的圖解指南，愛因斯坦博士將帶領我們從牛頓的古典物理開始，介紹到普朗克的量子、光的波粒二象性、物質和反物質、量子糾纏、薛丁格的貓……帶你進入神秘又有趣的量子世界。【本書特色】◎獨一無二！量子物理啟蒙繪本量子物理在大多數的成人眼裡好比外星語言，本書卻從兒童的視角出發，把艱澀的原理變得簡

A valuable new edition of a standard referenceThe use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An In

"This book identifies the role of digital technology in personalized learning, brings together research in personalized learning with a focus on cognitive, affective and metacogntive functionality of

Throughout history, there has been an intrinsic need for humans to detect deception in other humans. Developed in 1923, the polygraph machine was a tool designed to do just this. To date, there have b

In this book, authors Swift and Greenberg examine the phenomenon of premature termination in psychotherapy, focusing on understanding the scope of the problem and providing strategies for reducing ear