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Foundations of Embodied Learning: A Paradigm for Education
by Mitchell J. NathanFoundations of Embodied Learning advances learning, instruction, and the design of educational technologies by rethinking the learner as an integrated system of mind, body, and environment. Body-based processes—direct physical, social, and environmental interactions—are constantly mediating intellectual performance, sensory stimulation, communication abilities, and other conditions of learning. This book’s coherent, evidence-based framework articulates principles of grounded and embodied learning for design and its implications for curriculum, classroom instruction, and student formative and summative assessment for scholars and graduate students of educational psychology, instructional design and technology, cognitive science, the learning sciences, and beyond.
Foundations of Fuzzy Logic and Semantic Web Languages (Open Access)
by Umberto StracciaManaging vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic
Foundations of Geometric Algebra Computing
by Dietmar HildenbrandThe author defines "Geometric Algebra Computing" as the geometrically intuitive development of algorithms using geometric algebra with a focus on their efficient implementation, and the goal of this book is to lay the foundations for the widespread use of geometric algebra as a powerful, intuitive mathematical language for engineering applications in academia and industry. The related technology is driven by the invention of conformal geometric algebra as a 5D extension of the 4D projective geometric algebra and by the recent progress in parallel processing, and with the specific conformal geometric algebra there is a growing community in recent years applying geometric algebra to applications in computer vision, computer graphics, and robotics. This book is organized into three parts: in Part I the author focuses on the mathematical foundations; in Part II he explains the interactive handling of geometric algebra; and in Part III he deals with computing technology for high-performance implementations based on geometric algebra as a domain-specific language in standard programming languages such as C++ and OpenCL. The book is written in a tutorial style and readers should gain experience with the associated freely available software packages and applications. The book is suitable for students, engineers, and researchers in computer science, computational engineering, and mathematics.
Foundations of Hardware IP Protection
by Lilian Bossuet Lionel TorresThis book provides a comprehensive and up-to-date guide to the design of security-hardened, hardware intellectual property (IP). Readers will learn how IP can be threatened, as well as protected, by using means such as hardware obfuscation/camouflaging, watermarking, fingerprinting (PUF), functional locking, remote activation, hidden transmission of data, hardware Trojan detection, protection against hardware Trojan, use of secure element, ultra-lightweight cryptography, and digital rights management. This book serves as a single-source reference to design space exploration of hardware security and IP protection.
Foundations of Information and Knowledge Systems: 10th International Symposium, Foiks 2018, Budapest, Hungary, May 14-18, 2018, Proceedings (Lecture Notes in Computer Science #10833)
by Flavio Ferrarotti Stefan WoltranThis book constitutes the refereed proceedings of the 10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018, held in Budapest, Hungary, in May 2018.The 20 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation, reasoning and planning; logics in databases and AI; mathematical foundations; security in information and knowledge systems; semi-structured data and XML; social computing; the semantic web and knowledge management; and the world wide web.
Foundations of Information and Knowledge Systems
by Marc Gyssens Guillermo SimariThis book constitutes the proceedings of the 9th International Symposiumon Foundations of Information and Knowledge Systems, FoIKS 2016, held in Linz,Austria, in March 2016. The 14 revised full papers presented papers werecarefully reviewed and selected from 23 submissions. The papers address varioustopics such as reasoning about beliefs, uncertainty, incompleteness, andinconsistency, inference and problem solving, querying and pattern mining,dealing with knowledge, logics and complexity.
Foundations of Information and Knowledge Systems: 11th International Symposium, FoIKS 2020, Dortmund, Germany, February 17–21, 2020, Proceedings (Lecture Notes in Computer Science #12012)
by Andreas Herzig Juha KontinenThis book constitutes the refereed proceedings of the 11th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2020, held in Dortmund, Germany, in February 2020.The 19 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation, reasoning and planning; logics in databases and AI; mathematical foundations; security in information and knowledge systems; semi-structured data and XML; social computing; the semantic web and knowledge management; and the world wide web.
Foundations of Information and Knowledge Systems: 13th International Symposium, FoIKS 2024, Sheffield, UK, April 8–11, 2024, Proceedings (Lecture Notes in Computer Science #14589)
by Arne Meier Magdalena OrtizThis LNCS conference volume constitutes the proceedings of the 13th International Symposium, FoIKS 2024, in Sheffield, UK, in April 2024. The 18 full papers together with 3 short papers included in this volume were carefully reviewed and selected from 42 submissions.The Symposium focuses on fundamental aspect of information and knowledge systems, including submissions that apply ideas, theories, or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics, and optimization.
Foundations of Information Security: A Straightforward Introduction
by Jason AndressHigh-level overview of the information security field. Covers key concepts like confidentiality, integrity, and availability, then dives into practical applications of these ideas in the areas of operational, physical, network, application, and operating system security.In this high-level survey of the information security field, best-selling author Jason Andress covers the basics of a wide variety of topics, from authentication and authorization to maintaining confidentiality and performing penetration testing.Using real-world security breaches as examples, Foundations of Information Security explores common applications of these concepts, such as operations security, network design, hardening and patching operating systems, securing mobile devices, as well as tools for assessing the security of hosts and applications. You'll also learn the basics of topics like: • Multifactor authentication and how biometrics and hardware tokens can be used to harden the authentication process • The principles behind modern cryptography, including symmetric and asymmetric algorithms, hashes, and certificates • The laws and regulations that protect systems and data • Anti-malware tools, firewalls, and intrusion detection systems • Vulnerabilities such as buffer overflows and race conditionsA valuable resource for beginning security professionals, network systems administrators, or anyone new to the field, Foundations of Information Security is a great place to start your journey into the dynamic and rewarding field of information security.
Foundations of Intelligent Systems: 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3–5, 2022, Proceedings (Lecture Notes in Computer Science #13515)
by Michelangelo Ceci Sergio Flesca Elio Masciari Giuseppe Manco Zbigniew W. RaśThis book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications.
Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings (Lecture Notes in Computer Science #11177)
by Michelangelo Ceci Nathalie Japkowicz Jiming Liu George A. Papadopoulos Zbigniew W. RaśThis book constitutes the proceedings of the 24th International Symposium on Foundations of Intelligent Systems, ISMIS 2018, held in Limassol, Cyprus, in October 2018. The 32 full, 8 short, and 4 application papers presented in this volume were carefully reviewed and selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for Modeling Complex Data.
Foundations of Intelligent Systems
by Floriana Esposito Olivier Pivert Mohand-Said Hacid Zbigniew W. Rás Stefano FerilliThis book constitutes the refereed proceedings of the 22ndInternational Symposium on Methodologies for Intelligent Systems, ISMIS 2015,held in Lyon, France, in October 2015. The 31 revised full papers presented together with 18short papers were carefully reviewed and selected from 67 submissions. Thepapers are organized in topical sections on data mining methods; databases,information retrieval, recommender systems; machine learning; knowledgerepresentation, semantic web; emotion recognition, music information retrieval;network analysis, multi-agent systems; applications; planning, classification;and textual data analysis and mining.
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings (Lecture Notes in Computer Science #12117)
by Denis Helic Gerhard Leitner Martin Stettinger Alexander Felfernig Zbigniew W. RaśThis book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 35 full and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. Included is also one invited talk. The papers deal with topics such as natural language processing; deep learning and embeddings; digital signal processing; modelling and reasoning; and machine learning applications.
Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings (Lecture Notes in Computer Science #10352)
by Marzena Kryszkiewicz, Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron and Zbigniew W. RaśThis book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.
Foundations of Intelligent Systems
by Zhenkun Wen Tianrui Li"Foundations of Intelligent Systems" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but not limited to: Artificial Intelligence Theories, Pattern Recognition, Intelligent System Models, Speech Recognition, Computer Vision, Multi-Agent Systems, Machine Learning, Soft Computing and Fuzzy Systems, Biological Inspired Computation, Game Theory, Cognitive Systems and Information Processing, Computational Intelligence, etc. The proceedings are benefit for both researchers and practitioners who want to utilize intelligent methods in their specific research fields. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University, China. Dr. Tianrui Li is a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Xi'an, China.
Foundations of Joomla
by Bintu HarwaniFoundations of Joomla is a step by step practical guide that explains building web sites and blogs using Joomla - a very popular and powerful content management system (CMS). The book takes you through the steps of installing Joomla, configuring your database, creating a blog and a website, followed by instructions on creating new posts and adding content to your site. Even if you are an absolute beginner and don't have any programming experience, you can build responsive, powerful, and fully featured websites quickly. Following clear and easy to understand instructions, you'll master Joomla 3 by building a sample site throughout the book. What you'll learn Plan, design, create, secure, and administer your site Add menus, modules, articles, images, and other content to your site Apply different templates to make your site attractive and appealing Enable visitors to create accounts and add their own content Add extensions to your site to extend its capabilities, like selling products from your site, etc. Make your site multilingual and search engine friendly Who this book is for Foundations of Joomla addresses beginners who don't have deep experience in programming languages. The book teaches how to build professional fully featured websites using Joomla 3. It explains all the topics that are required in designing, creating, and managing a dynamic and interactive web site through clear and step by step instructions. The book will be very beneficial for developers and instructors too who want to learn or teach building websites. Table of Contents 1: Introduction to Joomla 2: Installing Joomla 3: Your First Steps in Joomla 4: Managing Images and Banner 5: Creating Users and Contacts 6: Creating Interaction 7: Dealing with Menus 8: Adding Modules 9: Adding Extensions 10: Making It Global
Foundations of Large-Scale Multimedia Information Management and Retrieval
by Edward Y. Chang"Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions. The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, Machine Learning, Large-scale Data Mining, Database, and Multimedia Information Retrieval. Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.
Foundations Of Legal Research And Writing
by Carol M. Bast Margie HawkinsFOUNDATIONS OF LEGAL RESEARCH AND WRITING, Fifth Edition is the ideal resource for paralegals. The book's up-to-the-minute coverage tackles the ever-evolving areas of computer-assisted research and Cyber law, in addition to traditional legal research, analysis, and writing. Extensive research chapters address primary and secondary sources, citating, Lexis/Nexis, the Internet, and more, while writing sections center on drafting client opinion letters, pleadings, contracts, office memos, memoranda of law, and appellate briefs. Every chapter gives you practice writing opportunities, as well as traditional and computer-assisted research assignments to help develop your skills. Detailed case excerpts, samples, tips, and discussions further support the assignments, and illustrate the many perils of inadequate research and poor legal writing. Readers everywhere agree that FOUNDATIONS OF LEGAL RESEARCH AND WRITING, Fifth Edition delivers the concepts you need for success in the most demanding law firms and legal departments today.
Foundations of Machine Learning (Adaptive Computation and Machine Learning)
by Mehryar Mohri Afshin Rostamizadeh Ameet TalwalkarA new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.
Foundations of Mathematical Modelling for Engineering Problem Solving (Studies in Autonomic, Data-driven and Industrial Computing)
by Parikshit Narendra Mahalle Nancy Ambritta P. Sachin R. Sakhare Atul P. KulkarniThis book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.
Foundations of Mobile Media Studies: Essential Texts on the Formation of a Field (Routledge Recommends)
by Jason FarmanFoundations of Mobile Media Studies gathers some of the most important texts in this emerging field, offering readers key approaches to understanding our moment and our media. The impact of mobile media is far reaching and this book discusses topics such as human intimacy, social space, political uprisings, labor, mobile phones in the developing world, gender, the mobile device’s impact on reading, mobile television, and mobile photography, among others. This carefully curated collection will serve as the central text to introduce this field to anyone eager to understand the rise of mobile technology, its impact on our relationships, and how these media have transformed the ways we understand the world around us.
Foundations of Network Optimization and Games
by Terry L. Friesz David BernsteinThis is a book about infrastructure networks that are intrinsically nonlinear. The networks considered range from vehicular networks to electric power networks to data networks. The main point of view taken is that of mathematical programming in concert with finite-dimensional variational inequality theory. The principle modeling perspectives are network optimization, the theory of Nash games, and mathematical programming with equilibrium constraints. Computational methods and novel mathematical formulations are emphasized. Among the numerical methods explored are network simplex, gradient projection, fixed-point, gap function, Lagrangian relaxation, Dantzig-Wolfe decomposition, simplicial decomposition, and computational intelligence algorithms. Many solved example problems are included that range from simple to quite challenging. Theoretical analyses of several models and algorithms, to uncover existence, uniqueness and convergence properties, are undertaken. The book is meant for use in advanced undergraduate as well as doctoral courses taught in civil engineering, industrial engineering, systems engineering, and operations research degree programs. At the same time, the book should be a useful resource for industrial and university researchers engaged in the mathematical modeling and numerical analyses of infrastructure networks.
Foundations of Physically Based Modeling and Animation
by Donald House John C. KeyserPhysics forms the basis for many of the motions and behaviors seen in both the real world and in the virtual worlds of animated films, visual effects, and computer games. By describing the underlying physical principles and then creating simulations based on these principles, these computer-generated worlds are brought to life. Physically Based Modeling and Animation goes behind the scenes of computer animation and details the mathematical and algorithmic foundations that are used to determine the behavior underlying the movement of virtual objects and materials. Dr. Donald House and Dr. John Keyser offer an approachable, hands-on view of the equations and programming that form the foundations of this field. They guide readers from the beginnings of modeling and simulation to more advanced techniques, enabling them to master what they need to know in order to understand and create their own animations Emphasizes the underlying concepts of the field, and is not tied to any particular software package, language, or API. Develops concepts in mathematics, physics, numerical methods, and software design in a highly integrated way, enhancing both motivation and understanding. Progressively develops the material over the book, starting from very basic techniques, and building on these to introduce topics of increasing complexity. Motivates the topics by tying the underlying physical and mathematical techniques directly to applications in computer animation.
Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning
by Fabrizio RiguzziProbabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming.Logic enables the representation of complex relations among entities while probability theory is useful for model uncertainty over attributes and relations. Combining the two is a very active field of study.Probabilistic Programming extends programming languages with probabilistic primitives that can be used to write complex probabilistic models. Algorithms for the inference and learning tasks are then provided automatically by the system.Probabilistic Logic programming is at the same time a logic language, with its knowledge representation capabilities, and a Turing complete language, with its computation capabilities, thus providing the best of both worlds.Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. Foundations of Probabilistic Logic Programming aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods.Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online.
Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning
by Fabrizio RiguzziSince its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for inference and learning. This book aims at providing an overview of the field with a special emphasis on languages under the Distribution Semantics, one of the most influential approaches. The book presents the main ideas for semantics, inference, and learning and highlights connections between the methods. Many examples of the book include a link to a page of the web application http://cplint.eu where the code can be run online. This 2nd edition aims at reporting the most exciting novelties in the field since the publication of the 1st edition. The semantics for hybrid programs with function symbols was placed on a sound footing. Probabilistic Answer Set Programming gained a lot of interest together with the studies on the complexity of inference. Algorithms for solving the MPE and MAP tasks are now available. Inference for hybrid programs has changed dramatically with the introduction of Weighted Model Integration. With respect to learning, the first approaches for neuro-symbolic integration have appeared together with algorithms for learning the structure for hybrid programs. Moreover, given the cost of learning PLPs, various works proposed language restrictions to speed up learning and improve its scaling.