Graphical Models for Machine Learning and Digital Communication

Utilizing evidence from numerous imperial cities, this book offers an explanation for the spread and survival of urban reform during the sixteenth century. By analyzing the operation of regional political constellations, it reveals a common process of negotiation that shaped the Reformation in the Holy Roman Empire. It reevaluates traditional models of reform that leave unexplored the religious implications of flexible systems of communication and support among cities. Such networks influenced urban reform in fundamental ways, affecting how Protestant preachers moved from city to city, as well as what versions of the Reformation city councils introduced. This fusion of religion and politics meant that with local variations, negotiation within a regional framework sat at the heart of urban reform. The Negotiated Reformation therefore explains not only how the Reformation spread to almost every imperial city in southern Germany, but also how it survived imperial attempts to repress relig

Social Network Analysis (SNA), a quantitative approach to the study of social relations, has recently emerged as a key tool for understanding the governance of natural resources. Bringing together contributions from a range of researchers in the field, this is the first book to fully explore the potential applications of SNA in the context of natural resource management. Topics covered include the role of SNA in stakeholder selection; improving fisheries management and conservation; the effect of social network ties on public satisfaction and agrarian communication networks. Numerous case studies link SNA concepts to the theories underlying natural resource governance, such as social learning, adaptive co-management and social movements theory. Reflecting on the challenges and opportunities associated with this evolving field, this is an ideal resource for students and researchers involved in many areas of natural resource management, environmental biology, sustainability science and s

Learn English with Charlie and the Chocolate Factory! A Penguin Readers book. Discover fifteen famous Roald Dahl adventures, adapted for learners of English aged 7+. Can you read them all?Penguin Readers is an ELT graded reader series for learners of English as a foreign language.With simplified text, illustrations and language learning exercises, the print edition also includes instructions to access supporting material online. In these Penguin Readers editions, Roald Dahl's stories have been aligned to the CEFR framework A1 to A2+, in four levels. Each book is also Lexile measured.The graded readers feature illustrated new words, language activities, and fun games between chapters, encouraging students and teachers to structure learning and make real progress. Every book also includes projects and discussions. Visit the Penguin Readers website for downloadable quizzes, worksheets and answer keys, as well as accompanying audio and a digital version of the book.Charlie and the Chocolat

Learn English with James and the Giant Peach! A Penguin Readers book. Discover fifteen famous Roald Dahl adventures, adapted for learners of English aged 7+. Can you read them all?Penguin Readers is an ELT graded reader series for learners of English as a foreign language.With simplified text, illustrations and language learning exercises, the print edition also includes instructions to access supporting material online. In these Penguin Readers editions, Roald Dahl's stories have been aligned to the CEFR framework A1 to A2+, in four levels. Each book is also Lexile measured.The graded readers feature illustrated new words, language activities, and fun games between chapters, encouraging students and teachers to structure learning and make real progress. Every book also includes projects and discussions. Visit the Penguin Readers website for downloadable quizzes, worksheets and answer keys, as well as accompanying audio and a digital version of the book.James and the Giant Peach, a Lev

Digital methodologies, new forms of data visualization and computer-based learning and assessment are creating new challenges as well as opportunities for scholars in educational research. The World Y

This lyrical picture book from Tony award–winning producer Ashlee Latimer models joyful self-acceptanceFrancis loves learning new words. At school, when her class is reviewing words that begin with the letter “F,” someone sneers “Fat, like Francis.” Francis always thought “fat” was a warm word―like snuggling with Mama or belly rubs for her puppy. But now “fat” feels cold, and Francis feels very small. After school, Baba takes Francis to the park. She chooses the bench instead of the swing set, and gets very quiet. But when Baba uses the word “possible,” Francis wants to know what it means. They explore the park together, discovering what’s “possible” around them. Is it like airplanes, hovering in the sky? Or does it look like planting and how some things take a long time to grow? “Possible” makes Francis feel warm and big―like “fat,” before someone else made her feel small. This ode to self-acceptance will model for child readers what “possible” might mean in their own lives.

This book is published open access under a CC BY 4.0 license.It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cl

內容介紹: 別再傻傻只選一個模型訓練很多模型，卻不知道應該選哪一個？沒有一個模型達標？每個模型都有其優缺點，無法取捨？小朋友才做選擇，大人全都要！你該試試集成式學習！集成式學習是使用 2 種或更多的機器學習演算法，來組合出預測能力更好的模型。DeepMind 已經使用集成式學習來組合多個神經網路，控制 Google 資料中心的運作效能；集成式學習技術也在 Kaggle 平台上，席捲了各個競賽的第一名寶座。因此，集成式學習是建立出更具威力的模型，不可或缺的技術之一。本書會介紹實務上常見的集成式學習演算法，如硬投票、軟投票、堆疊法、自助聚合法、適應提升法、梯度提升法、隨機森林、極端隨機樹等，並且使用熱門的 scikit-learn、Keras、OpenEnsembles、XGBoost 等 Python 函式庫來實作各種不同的集成式學習技術，建構出一個強大的模型。熟稔本書的內容後，不但可以精通集成式學習，在實際情境中面對問題時，亦能具備充分的專業知識判斷適用的集成式學習方法，並成功實作它們。書中採用「做中學」的方式，讓你不僅可以快速掌握理論基礎，也能了解各種集成式學習技術的實作，再加上運用真實世界中的資料集，你將能夠建立出更佳的機器學習模型，以解決各種問題，包含迴歸、分類、分群。現在翻開本書，讓我們一起進入集成式學習的世界，整合你所會的全部技術，打造最強大的模型。 本書特色: ● 繁體中文第 1 本集成式學習專書，告訴你不要再傻傻地只選一個模型● 完整介紹集成式學習中常見的演算法，包含極端隨機樹、堆疊法、自助聚合法、提升法等● 一書掌握實作集成式學習的必備套件，如 Scikit-Learn、OpenEnsembles、XGBoost 等● 用 Python 刻演算法給你看，接著告訴你怎麼用套件。讓你不只會做，還懂為什麼這麼做● 以 5 個實務案例來展示集成式學習的威力● 本書由施威銘研究室監修，內容易讀易懂，並加入大量「小編補充」補充必要知識● 本書 Python 範例程式免費下載

Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and ad

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix no

Informed by second-language acquisition research and supported by cutting-edge digital tools, the complete Avanti! program creates a dynamic learning environment that fosters communication and moti

Social Signal Processing is the first book to cover all aspects of the modeling, automated detection, analysis, and synthesis of nonverbal behavior in human-human and human-machine interactions. Authoritative surveys address conceptual foundations, machine analysis and synthesis of social signal processing, and applications. Foundational topics include affect perception and interpersonal coordination in communication; later chapters cover technologies for automatic detection and understanding such as computational paralinguistics and facial expression analysis and for the generation of artificial social signals such as social robots and artificial agents. The final section covers a broad spectrum of applications based on social signal processing in healthcare, deception detection, and digital cities, including detection of developmental diseases and analysis of small groups. Each chapter offers a basic introduction to its topic, accessible to students and other newcomers, and then outl

This book challenges functional models for more aesthetic and ethical models, where communication is grounded in values systems of cultures. Here, communication is treated as a distributed phenomenon

This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric specification. A final section treats graphical and numerical methods of specification testing. This is the first published exposition of current econometric methods for the study of duration data.

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine le

Examining changing role models for masculine identity--from cowboy in the 1950s to Terminator in the 1990s, from flesh-and-blood man to machine--this book suggests that men need new role models and th

Malicious hackers utilize the World Wide Web to share knowledge. Analyzing the online communication of these threat actors can help reduce the risk of attacks. This book shifts attention from the defender environment to the attacker environment, offering a new security paradigm of 'proactive cyber threat intelligence' that allows defenders of computer networks to gain a better understanding of their adversaries by analyzing assets, capabilities, and interest of malicious hackers. The authors propose models, techniques, and frameworks based on threat intelligence mined from the heart of the underground cyber world: the malicious hacker communities. They provide insights into the hackers themselves and the groups they form dynamically in the act of exchanging ideas and techniques, buying or selling malware, and exploits. The book covers both methodology - a hybridization of machine learning, artificial intelligence, and social network analysis methods - and the resulting conclusions, det

For all developers who create models using the Unified Modeling Language (UML) 2.x The Elements of UML™ 2.0 Style sets the rules for style that will improve your productivity - especially in teams, where understandability and consistency are critical. Coming from renowned UML expert Scott Ambler, the book furnishes a set of rules for modelling in the UML and describes a collection of standards and guidelines for creating effective UML diagrams that will be concise and easy to understand. It provides conventions for: Class diagrams; Timing Diagrams; Use case diagrams; Composite Structure Diagrams; Sequence diagrams; Interaction Overview Diagrams; Activity diagrams; Object diagrams; State machine diagrams; Package diagrams; Communication diagrams; Deployment diagrams and Component diagrams. The Elements of UML™ 2.0 Style sets the rules for style that will improve your productivity.

At the heart of any modern communication system is the modem, connecting the data source to the communication channel. This first course in the mathematical theory of modem design introduces the theory of digital modulation and coding that underpins the design of digital telecommunications systems. A detailed treatment of core subjects is provided, including baseband and passband modulation and demodulation, equalization, and sequence estimation. The modulation waveforms for communication channels and digital recording channels are treated in a common setting and with unified terminology. A variety of more advanced topics is also covered, such as trellis codes, turbo codes, the Viterbi algorithm, block codes, maximum likelihood and maximum posterior probability, iterative demodulation, and jamming. Numerous end-of-chapter exercises are also included to test the reader's understanding throughout. This insightful book is ideal for senior undergraduate students studying digital communicat

This book equips the reader to understand every important aspect of the dynamics of rotating machines. Will the vibration be large? What influences machine stability? How can the vibration be reduced? Which sorts of rotor vibration are the worst? The book develops this understanding initially using extremely simple models for each phenomenon, in which (at most) four equations capture the behavior. More detailed models are then developed based on finite element analysis, to enable the accurate simulation of the relevant phenomena for real machines. Analysis software (in MATLAB) is associated with this book, and novices to rotordynamics can expect to make good predictions of critical speeds and rotating mode shapes within days. The book is structured more as a learning guide than as a reference tome and provides readers with more than 100 worked examples and more than 100 problems and solutions.

Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes.

This SpringerBrief presents the principles, methods, and workflows for processing and analyzing coastal LiDAR data time-series. Robust methods for computing high resolution digital elevation models (D

"This book introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes for those interested in

A comprehensive reference for researchers in machine learning, data mining, and computer vision, this book presents in-depth, systematic discussions on algorithms and applications for dimensionality r

Higher education professionals have moved from teaching- to learning-centered models for designing and assessing courses and curricula. Faculty work collaboratively to identify learning objectives and

This book describes the synthesis and use of biologically-inspired artificial hydrocarbon networks for modeling problems associated with machine learning, offers a novel algorithm for exploiting them

Various theoretical models in psychology have emphasized the social foundation of the mind and the role that social interactions play in human development. Interactive minds emphasizes social transaction and communication between minds without implying particular mechanisms and outcomes. For instance, not all products of interacting minds are positive. Interactive Minds also takes a life-span perspective, which is especially suited for understanding interactive dynamics of behaviour and human development. Experts from a variety of fields address such issues as biological aspects of cooperation, the role of social interaction in learning, the conceptualization of linguistic knowledge, and peer problem solving. In a concluding Epilogue, implications are presented for various fields, including education, developmental and cognitive psychology, and cultural anthropology.

Various theoretical models in psychology have emphasized the social foundation of the mind and the role that social interactions play in human development. Interactive minds emphasizes social transaction and communication between minds without implying particular mechanisms and outcomes. For instance, not all products of interacting minds are positive. Interactive Minds also takes a life-span perspective, which is especially suited for understanding interactive dynamics of behaviour and human development. Experts from a variety of fields address such issues as biological aspects of cooperation, the role of social interaction in learning, the conceptualization of linguistic knowledge, and peer problem solving. In a concluding Epilogue, implications are presented for various fields, including education, developmental and cognitive psychology, and cultural anthropology.

The original works by Andrea Incontri, designer who intertwines codes and aesthetics of fashion and visual arts, digital communication and applied arts.Andrea Incontri delved into his passion for art

Mixture analysis is very active research topic in statistics and machine learning. It is a good timing for a Handbook to present a broad overview of the methods and applications, suitable for graduate

This book is the first to provide a comprehensive survey of the computational models and methodologies used for studying the evolution and origin of language and communication. Comprising contribution

A spiral-bound introduction to the fundamentals of communication technology for nontechnical graduate students. Chapters on signals and spectra, electricity, system elements, modulation, digital signa

Sharpen your students’ communication skills while integrating digital tools into writing instruction. Loaded with techniques for helping students brainstorm, plan, and organize their writing, this han

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform gener

This book guides readers through the design of hardware architectures using VHDL for digital communication and image processing applications that require performance computing. Further it includes the

ZBrush is a powerful program offering digital artists of all levels intuitive and inspiring workflow solutions for 3D models and 2D images. Following in the success of ZBrush Character Sculpting: Volu

The ancient craft of architectural model making may seem unnecessary in today's age of digital renderings and virtual tours, but physical models remain a uniquely revealing and compelling tool for the

What happens when communication breaks down? Is it the condition for mistakes and errors that is characteristic of digital culture? And if mistakes and errors have a certain power, what stands behind

Media Studies 2.0 offers an exploration of the digital revolution and its consequences for media and communication studies, arguing that the new era requires an upgraded discipline: a media studies 2.

Media Studies 2.0 offers an exploration of the digital revolution and its consequences for media and communication studies, arguing that the new era requires an upgraded discipline: a media studies 2.