Artificial intelligence (AI) Books

Book SynopsisAs its title says, it's the hundred-page machine learning book. It was written by an expert in machine learning holding a Ph.D. in Artificial Intelligence with almost two decades of industry experience in computer science and hands-on machine learning.This is a unique book in many aspects. It is the first successful attempt to write an easy to read book on machine learning that isn't afraid of using math. It's also the first attempt to squeeze a wide range of machine learning topics in a systematic way and without loss in quality.The book contains only those parts of the huge body of material on machine learning developed since the 1960s that have proven to have a significant practical value. A beginner in machine learning will find in this book just enough details to get a comfortable level of understanding of the field and start asking the right questions. Practitioners with experience will use this book as a collection of pointers to the directions of further self-improvement.The book also comes in handy when brainstorming at the beginning of a project, when you try to answer the question whether a given technical or business problem is 'machine-learnable' and, if yes, which techniques you should try to solve it.The book comes with a wiki which contains pages that extend some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources. Thanks to the continuously updated wiki this book like a good wine keeps getting better after you buy it.

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Book SynopsisThe book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order to identify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and develop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human–computer interaction (HCI) systems. This book is a valuable resource for a. the research community, PhD students, early stage researchersc. schools, hospitals, and rehabilitation and assisted-living centerse. the ICT market, and representatives from multimedia industriesTable of ContentsA Human-Centered Behavioral Informatics.- Wearable Devices for Self-Enhancement and Improvement of Plasticity: Effects on Neurocognitive Efficiency.- Age and Culture Effects on The Ability to Decode Affective Bursts.- N200 ERP Component in Olfactory and Haptic Crossmodal Perception.- Handwriting and Drawing Features for Detecting Negative Moods.- Oressinergic System: Network Between Sympathetic System and Exercise.- Experimental Analysis of In-Air Trajectories at Long Distances in Online Handwriting.- Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization.- A Neural Network to Identify Driving Habits and Compute Car-Sharing Users' Reputation.- Unsupervised Gene Identification in Colorectal Cancer.- Supervised Gene Identification In Colorectal Cancer.- Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition.- A Novel Deep Learning Approach in Hematology for Classification of Leucocytes.

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Book SynopsisThe International Workshop on Human-Friendly Robotics (HFR) is an annual meeting that brings together academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects related to the introduction of robots into everyday life. HFR collects contributions on current developments of a new generation of human-friendly robots, i.e., safe and dependable machines, operating in the close vicinity to humans or directly interacting with them in a wide range of domains. The papers contained in the book describe the newest and most original achievements in the field of human-robot-interaction coming from the work and ideas of young researchers. The contributions cover a wide range of topics related to human-robot interaction, both physical and cognitive, including theories, methodologies, technologies, empirical and experimental studies.Table of ContentsRobot Control and Manipulation.- Natural Human-Robot Interaction.- Human robot collaboration.- Robot Learning.

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Book SynopsisThis handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trialsTable of Contents1 Introduction to GE.- 2 Understanding Grammatical Evolution: Grammar Design.- 3 Bias in Grammatical Evolution.- 4 Mapping in Grammatical Evolution.- 5 Theory of Disruption in GE.- 6 Structured Grammatical Evolution.- 7 Geometric Semantic Grammatical Evolution.- 8 GE and Semantics.- 9 Multi- and Many-core Heterogeneous Parallel Grammatical Evolution.- 10 Grammatical Evolution.- 11 Financial Modelling with Grammatical Evolution.- 12 Synthesis of Parallel Programs on Multi-cores.- 13 Design, Architecture and Engineering with Grammatical Evolution.- 14 Computational Creativity and Grammatical Evolution.- 15 Grammatical Evolution in the Prediction of Glucose for Diabetes.- 16 Genomics.- 17 Grammatical Evolution with Coevolutionary Algorithms in Cybersecurity.- 18 Evolving Behavior Trees with Grammatical Evolution for Platform Games.- 19 Patient Recruitment in Multicentre Clinical Trials.

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Book SynopsisThis book is devoted to embedded systems (ESs), which can now be found in practically all fields of human activity. Embedded systems are essentially a special class of computing systems designed for monitoring and controlling objects of the physical world. The book begins by discussing the distinctive features of ESs, above all their cybernetic-physical character, and how they can be designed to deliver the required performance with a minimum amount of hardware. In turn, it presents a range of design methodologies. Considerable attention is paid to the hardware implementation of computational algorithms. It is shown that different parts of complex ESs could be implemented using models of finite state machines (FSMs). Also, field-programmable gate arrays (FPGAs) are very often used to implement different hardware accelerators in ESs. The book pays considerable attention to design methods for FPGA-based FSMs, before the closing section turns to programmable logic controllers widely used in industry. This book will be interesting and useful for students and postgraduates in the area of Computer Science, as well as for designers of embedded systems. In addition, it offers a good point of departure for creating embedded systems for various spheres of human activity. Table of ContentsIntroduction into embedded systems.- Design of embedded systems.- Implementation of computational algorithms in embedded systems.- Field programmable gate arrays.- Implementing Control Algorithms with FPGAs.- Programmable Logic Controllers.- Conclusion.

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Book SynopsisThis book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection. Trade Review“The book discusses mathematical theories of machine learning. … The book is very technically written and it is addressed to professionals in the field.” (Smaranda Belciug, zbMATH 1422.68003, 2019)Table of ContentsChapter 1. Introduction.- Chapter 2. General Framework of Mathematics.- Chapter 3. Problem Formulation.- Chapter 4. Development of Novel Techniques of CoCoSSC Method.- Chapter 5. Further Discussions of the Proposed Method.- Chapter 6. Related Work on Geometry of Non-Convex Programs.- Chapter 7. Gradient Descent Converges to Minimizers.- Chapter 8. A Conservation Law Method Based on Optimization.- Chapter 9. Improved Sample Complexity in Sparse Subspace Clustering with Noisy and Missing Observations.- Chapter 10. Online Discovery for Stable and Grouping Causalities in Multi-Variate Time Series.- Chapter 11. Conclusion.

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Book SynopsisIn this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens. Trade Review“The book claims to be suitable for undergraduate students, and interested and concerned researchers, practitioners, and citizens. It will serve these audiences well but would be of equal benefit and importance to policymakers and those making decisions about adopting AI technology who might otherwise be focused on a narrower functional perspective. … Highly recommended for all.” (Nicolas E. Gold, Genetic Programming and Evolvable Machines, Vol. 22, 2021)“Responsible Artificial Intelligence is a valuable contribution to the debate about AI … at the level of building principled, responsible AI systems, and the use of these systems. The further reading which the book suggests complements this technical monograph with accessible contributions about the nature and future of AI. … If you want to know how a vision for responsible AI systems in the European fashion can be built from values, read this book.” (Neil Yorke-Smith, Prometheus, September, 2020)Table of ContentsIntroduction.- What Is Artificial Intelligence?.- Ethical Decision-Making.- Taking Responsibility.- Can AI Systems Be Ethical?.- Ensuring Responsible AI in Practice.- Looking Further.

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Book SynopsisThis book constitutes the proceedings of the 21st International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2020. The 21 papers presented in this volume were carefully reviewed from 44 submissions. VMCAI provides a forum for researchers from the communities of verification, model checking, and abstract Interpretation, facilitating interaction, cross-fertilization, and advancement of hybrid methods that combine these and related areas. Table of ContentsWitnessing Secure Compilation.- BackFlow: Backward Context-sensitive Flow Reconstruction of Taint Analysis Results.- Fixing Code That Explodes Under Symbolic Evaluation.- The Correctness of a Code Generator for a Functional Language.- Leveraging Compiler Intermediate Representation for Multi- and Cross-Language Verification.- Putting the Squeeze on Array Programs: Loop Verification via Inductive Rank Reduction.- A Systematic Approach to Abstract Interpretation of Program Transformations.- Sharing ghost variables in a collection of abstract domains.- Harnessing Static Analysis to Help Learn Pseudo-Inverses of String Manipulating Procedures for Automatic Test Generation.- Synthesizing Environment Invariants for Modular Hardware Verification.- Systematic Classi cation of Attackers via Bounded Model Checking.- Cheap CTL Compassion in NuSMV.- A Cooperative Parallelization Approach for Property-Directed k-Induction.- Generalized Property-Directed Reachability for Hybrid Systems.- Language Inclusion for Finite Prime Event Structures.- Promptness and Bounded Fairness in Concurrent and Parameterized Systems.- Solving LIA* Using Approximations.- Formalizing and checking Multilevel Consistency.- Practical Abstractions for Automated Veri cation of Shared-Memory Concurrency.- How to Win First-Order Safety Games.- Improving Parity Game Solvers with Justifications.

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Book SynopsisThis book constitutes the refereed proceedings of the First Multidisciplinary International Symposium, MISDOOM 2019, held in Hamburg, Germany, in February/March 2019. The 14 revised full papers were carefully reviewed and selected from 21 submissions. The papers are organized in topical sections named: human computer interaction and disinformation, automation and disinformation, media and disinformation.Table of ContentsHuman Computer Interaction and Disinformation.- Human and Algorithmic Contributions to Misinformation Online -Identifying the Culprit.- Between Overload and Indifference. Detection of Fake Accounts and Social Bots by Community Managers.- Use and Assessment of Sources in Conspiracy Theorists' Communities.-Credibility Development with Knowledge Graphs.- Automated Detection of Nostalgic Text in the Context of Societal Pessimism.- What is Abusive Language? Integrating Different Views on Abusive Language for Machine Learning.- Automation and Disinformation.- Detecting Malicious Social Bots: Story of a Never-Ending Clash.- The Markets of Manipulation: The Trading of Social Bots on Clearnet and Darknet Markets.- Inside the Tool Set of Automation: Free Social Bot Code Revisited.- Analysis of Automation in Account Engagement for Onsetting Twitter Message Cascades.- How Facebook and Google accidentally created a perfect ecosystem for targeted disinformation.- Between Mainstream and Alternative.- Populist Alternative News Media.- Maintaining Journalistic Authority.- State propaganda on Twitter - How Iranian propaganda accounts tried to negatively in uence the discourse on Saudi Arabia.

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Book Synopsis This book systematically introduces readers to the development of simulation models as well as the implementation and evaluation of simulation experiments with Tecnomatix Plant Simulation. Intended for all Plant Simulation users whose work involves complex tasks, it also offers an easy start for newcomers. Particular attention has been paid to introducing the simulation flow language SimTalk and its use in various aspects of simulation. In over 200 examples, the author demonstrates how to combine the blocks for simulation models and how to employ SimTalk in complex control and analysis tasks. The content ranges from a description of the basic functions of the material flow blocks to more advanced topics such as the implementation of database-supported warehouse control by using the SQLite interface, and the exchange of data using XML, ActiveX, COM or DDE. Table of ContentsBasics.- SimTalk and Dialogs.- Modeling of Production Processes.- Information Flow, Controls.- Working with random values.- Simulation of transport processes.- Simulation of Robots and Handling Equipment.- Warehousing and Procurement.- Simulation of Workers.- The Fluids Library.- 2D and 3D Visualization.- Integrate Energy Consumption and Costs.- Statistics.- Data Exchange and Interfaces.

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Book SynopsisThis book provides innovative ideas on achieving sustainable development and using green technologies to conserve our ecosystem. Innovation is the successful exploitation of a new idea. Through innovation, we can achieve MORE while using LESS. Innovations in science & technology will not only help mankind as a whole, but also contribute to the economic growth of individual countries. It is essential that the global problem of environmental degradation be addressed immediately, and thus, we need to rethink the concept of sustainable development. Indeed, new environmentally friendly technologies are fundamental to attaining sustainable development. The book shares a wealth of innovative green technological ideas on how to preserve and improve the quality of the environment, and how to establish a more resource-efficient and sustainable society. The book provides an interdisciplinary approach to addressing various technical issues and capitalizing on advances in computing & optimization for scientific & technological development, smart information, communication, bio-monitoring, smart cities, food quality assessment, waste management, environmental aspects, alternative energies, sustainable infrastructure development, etc. In short, it offers valuable information and insights for budding engineers, researchers, upcoming young minds and industry professionals, promoting awareness for recent advances in the various fields mentioned above. Table of ContentsChapter 1: A Treatise on Distributed Generation Control.- Chapter 2: Approach for the prevention of Audio Piracy.- Chapter 3: Quality assessment of kaji lemon (Citrus limon) juice under ultrasound and pasteurization processing conditions.- Chapter 4: Optimal Parameter Extraction of PEM Fuel Cell using an Effective Approach.- Chapter 5: A Survey on Feature Extraction Methods for EEG based Emotion Recognition.- Chapter 6: Block Steganography Based Secure Key Encryption To Improve Data Security.- Chapter 7: Texture analysis for rice grain classification using wavelet decomposition and back propagation neural network.- Chapter 8: An analytics-based envelope neural net approach to forecasting memory leakage in an enterprise applications environment.

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Book Synopsis This book investigates the application of promising machine learning techniques to address two problems: (i) how to find profitable pairs while constraining the search space and (ii) how to avoid long decline periods due to prolonged divergent pairs. It also proposes the integration of an unsupervised learning algorithm, OPTICS, to handle problem (i), and demonstrates that the suggested technique can outperform the common pairs search methods, achieving an average portfolio Sharpe ratio of 3.79, in comparison to 3.58 and 2.59 obtained using standard approaches. For problem (ii), the authors introduce a forecasting-based trading model capable of reducing the periods of portfolio decline by 75%. However, this comes at the expense of decreasing overall profitability. The authors also test the proposed strategy using an ARMA model, an LSTM and an LSTM encoder-decoder.Table of ContentsChapter 1. Introduction Chapter 2. Pairs Trading – Background and Related Work Chapter 3. Proposed Pairs Selection Framework Chapter 4. Proposed Trading Model Chapter 5. Implementation Chapter 6. Results Chapter 7. Conclusions and Future Work

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Book SynopsisThis book highlights recent research on soft computing, pattern recognition and biologically inspired computing. It presents 24 selected papers from the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) and 5 papers from the 11th World Congress on Nature and Biologically Inspired Computing (NaBIC 2019), held at Vardhaman College of Engineering, Hyderabad, India, on December 13–15, 2019. SoCPaR–NaBIC is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and bio-inspired computing, as well as their industrial and real-world applications. Including contributions by authors from 15 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.Table of Contents​Generalized Fuzzy Rough Sets Based on New Fuzzy Similarity Relation.- SV-NET: A Deep Learning Approach To Video Based Human Activity Recognition.- Machine Learning based Framework for Recognizing Traffic Signs on Road Surfaces.- Cursor Control Using Face Gestures.- A Smart Discussion Forum Website.- Certificate Management System Using Blockchain.- Reality Check in Virtual Space for Privacy Behavior of Indian Users of Social Networking Sites.- Application of artificial electric field algorithm for economic load dispatch problem.- Intelligent Data Compression Policy for Hadoop Performance Optimization.

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Book SynopsisThis research-oriented book presents key contributions on architecting the digital transformation. It includes the following main sections covering 20 chapters: · Digital Transformation · Digital Business · Digital Architecture · Decision Support · Digital Applications Focusing on digital architectures for smart digital products and services, it is a valuable resource for researchers, doctoral students, postgraduates, graduates, undergraduates, academics and practitioners interested in digital transformation.Table of ContentsTOC available in MS.

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Book SynopsisThis book is of interest to researchers wanting to know more about the latest topics and methods in the fields of the kinematics, control and design of robotic systems. The papers cover the full range of robotic systems, including serial, parallel and cable-driven manipulators. The systems range from being less than fully mobile, to kinematically redundant, to over-constrained. The book brings together 43 peer-reviewed papers. They report on the latest scientific and applied achievements. The main theme that connects them is the movement of robots in the most diverse areas of application.Table of ContentsAdvances in Robot Kinematics Facts and Thoughts.- Inverse Kinematics Using a Converging Paths Algorithm.- Design parameters influence on the static workspace and the stiffness range of a tensegrity mechanism.- Bennett Based Balanced Butterfly Linkage, Deployable Linkage with Inherent Balance.- A Compliant Linkage for Cooperative Object Manipulation through a Heterogeneous Mobile Multi-Robot System.- Modeling and Control of a Redundant Tensegrity-based Manipulator.

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Book SynopsisThis open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.Table of ContentsFoundations.- Chapter 1. Ecosystem of Big Data.- Chapter 2. Knowledge Graphs: The Layered Perspective.- Chapter 3. Big Data Outlook, Tools, and Architectures.- Architecture.- Chapter 4. Creation of Knowledge Graphs.- Chapter 5. Federated Query Processing.- Chapter 6. Reasoning in Knowledge Graphs: An Embeddings Spotlight.- Methods and Solutions.- Chapter 7. Scalable Knowledge Graph Processing using SANSA.- Chapter 8. Context-Based Entity Matching for Big Data.- Applications.- Chapter 9. Survey on Big Data Applications.- Chapter 10. Case Study from the Energy Domain.

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Book SynopsisIn this book the author discusses synergies between computers and thought, related to the field of Artificial Intelligence; between people and thought, leading to questions of consciousness and our existence as humans; and between computers and people, leading to the recent remarkable advances in the field of humanoid robots. He then looks toward the implications of intelligent 'conscious' humanoid robots with superior intellects, able to operate in our human environments. After presenting the basic engineering components and supporting logic of computer systems, and giving an overview of the contributions of pioneering scientists in the domains of computing, logic, and robotics, in the core of the book the author examines the meaning of thought and intelligence in the context of specific tasks and successful AI approaches. In the final part of the book he introduces related societal and ethical implications.The book will be a useful accompanying text in courses on artificial intelligence, robotics, intelligent systems, games, and evolutionary computing. It will also be valuable for general readers and historians of technology.Table of ContentsIntroduction.- Part I: The Components.- Computers.- People.- Thought.- Part II: The Synergies.- Computers and People.- People and Thought.- Computers and Thought.- Computers, People, and Thought.- Part III: The Wider Picture.- Ethical, Societal, Philosophical, and Spiritual Issues.- Jobs and Education.- Superintelligence.- Lethal Autonomous Weapons Systems.- The Right to Privacy as a Cornerstone of Human Individuality and Freedom?.- The Future of Society: Choices, Decisions, and Consequences.- App. A: What Is the Most Efficient Number Base?.- App. B: Ternary State Machine Design.- References.

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