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  • 1
    Keywords: Computer science ; Software engineering ; Algorithms ; Computer logic ; Mathematical logic ; Artificial intelligence ; Computer simulation ; Computer Science ; Logics and Meanings of Programs ; Software Engineering ; Artificial Intelligence (incl. Robotics) ; Mathematical Logic and Formal Languages ; Algorithm Analysis and Problem Complexity ; Simulation and Modeling
    Description / Table of Contents: This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018. The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verication to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications
    Pages: Online-Ressource (XIX, 703 pages) , 146 illustrations
    ISBN: 9783319961453
    Language: English
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  • 2
    Unknown
    Cham : Springer
    Keywords: Computer science ; Artificial intelligence ; Algorithms ; Robotics ; Automation ; Computer Science ; Artificial Intelligence (incl. Robotics) ; Algorithms ; Robotics and Automation
    Description / Table of Contents: Robots and their Applications --- Sensors --- Reactive Behavior --- Finite State Machines --- Robotic Motion and Odometry --- Control --- Local Navigation: Obstacle Avoidance --- Localization --- Mapping --- Mapping-based Navigation --- Fuzzy Logic Control --- Image Processing --- Neural Networks --- Machine Learning --- Swarm Robotics --- Kinematics of a Robotic Manipulator --- Appenix A:Units of Measurement --- Appendix B:Mathematical Derivations and Tutorials --- Index
    Pages: Online-Ressource (XVI, 308 pages) , 198 illustrations, 76 illustrations in color
    ISBN: 9783319625331
    Language: English
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  • 3
    Keywords: Computer science ; Computer system failures ; Software engineering ; Computer logic ; Computer science ; Mathematics ; Artificial intelligence ; Computers ; Computer Science ; Logics and Meanings of Programs ; Software Engineering/Programming and Operating Systems ; Artificial Intelligence (incl. Robotics) ; System Performance and Evaluation ; The Computing Profession ; Discrete Mathematics in Computer Science
    Description / Table of Contents: Semantics --- Non-angelic Concurrent Game Semantics --- A Trace Semantics for System F Parametric Polymorphism --- Categorical Combinatorics for Non Deterministic Strategies on Simple Games --- A Syntactic View of Computational Adequacy --- Linearity --- A New Linear Logic for Deadlock-Free Session-Typed Processes --- A Double Category Theoretic Analysis of Graded Linear Exponential Comonads --- Depending on Session-Typed Processes --- FabULous Interoperability for ML and a Linear Language --- Concurrency --- Automata for True Concurrency Properties --- A Theory of Encodings and Expressiveness --- A Framework for Parameterized Monitorability --- Logics for Bisimulation and Divergence --- Lambda-Calculi and Types --- Call-by-need, Neededness and All That --- Fitch-Style Modal Lambda Calculi --- Realizability Interpretation and Normalization of Typed Call-by-Need --- Quotient Inductive-Inductive Types --- Category Theory and Quantum Control --- Guarded Traced Categories --- Proper Semirings and Proper Convex Functors --- From Symmetric Pattern-Matching to Quantum Control --- Quantitative Models --- The Complexity of Graph-Based Reductions for Reachability in Markov Decision Processes --- A Hierarchy of Scheduler Classes for Stochastic Automata --- Symbolically Quantifying Response Time in Stochastic Models using Moments and Semirings --- Comparator Automata in Quantitative Verification --- Logics and Equational Theories --- Modular Tableaux Calculi for Separation Theories --- Differential Calculus with Imprecise Input and its Logical Framework --- The Effects of Adding Reachability Predicates in Propositional Separation Logic --- The Equational Theory of the Natural Join and of Inner Union is Decidable --- Graphs and Automata --- Minimization of Graph Weighted Models over Circular Strings --- Games on Graphs with a Public Signal Monitoring --- WQO Dichotomy for 3-Graphs --- Verifying Higher-Order Functions with Tree Automata
    Pages: Online-Ressource (XV, 583 pages) , 75 illustrations
    ISBN: 9783319893662
    Language: English
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  • 4
    Keywords: Computer science ; Data mining ; Artificial intelligence ; Text processing (Computer science) ; Computational linguistics ; Computer Science ; Document Preparation and Text Processing ; Artificial Intelligence (incl. Robotics) ; Language Translation and Linguistics ; Data Mining and Knowledge Discovery ; Information Systems Applications (incl. Internet)
    Description / Table of Contents: Reconstruction of Separable Particle Verbs in a Corpus of Spoken German --- Detecting Vocal Irony --- The Devil is in the Details: Parsing Unknown German Words --- Exploring Ensemble Dependency Parsing to Reduce Manual Annotation Workload --- Different German and English Co-reference Resolution Models for Multi-Domain Content Curation Scenarios --- Word and Sentence Segmentation in German: Overcoming Idiosyncrasies in the Use of Punctuation in Private Communication --- Fine-Grained POS Tagging of German Social Media and Web Texts --- Developing a Stemmer for German Based on a Comparative Analysis of Publicly Available Stemmers --- Negation Modeling for German Polarity Classification --- NECKAr: A Named Entity Classifier for Wikidata --- Investigating the Morphological Complexity of German Named Entities: The Case of the GermEval NER Challenge --- Detecting Named Entities and Relations in German Clinical Reports --- In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition --- What does this imply? Examining the Impact of Implicitness on the Perception of Hate Speech --- Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication --- Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource --- How Social Media Text Analysis Can Inform Disaster Management --- A Comparative Study of Uncertainty Based Active Learning Strategies for General Purpose Twitter Sentiment Analysis with Deep Neural Networks --- An Infrastructure for Empowering Internet Users to Handle Fake News and Other Online Media Phenomena --- Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors --- Twitter Geolocation Prediction Using Neural Networks --- Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy --- A Case Study on the Relevance of the Competence Assumption for Implicature Calculation in Dialogue Systems --- Supporting Sustainable Process Documentation --- Optimizing Visual Representations in Semantic Multi-Modal Models with Dimensionality Reduction, De-noising and Contextual Information --- Using Argumentative Structure to Grade Persuasive Essays
    Pages: Online-Ressource (XIII, 310 pages) , 54 illustrations
    ISBN: 9783319737065
    Language: English
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  • 5
    Keywords: Computer science ; Software engineering ; Algorithms ; Computer logic ; Mathematical logic ; Artificial intelligence ; Computer simulation ; Computer Science ; Logics and Meanings of Programs ; Software Engineering ; Artificial Intelligence (incl. Robotics) ; Mathematical Logic and Formal Languages ; Algorithm Analysis and Problem Complexity ; Simulation and Modeling
    Description / Table of Contents: This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018. The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verication to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications
    Pages: Online-Ressource (XX, 545 pages) , 106 illustrations
    ISBN: 9783319961422
    Language: English
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  • 6
    Keywords: Computer science ; Computer system failures ; Software engineering ; Computer logic ; Computer science ; Mathematics ; Artificial intelligence ; Computers ; Computer Science ; Logics and Meanings of Programs ; Software Engineering/Programming and Operating Systems ; Artificial Intelligence (incl. Robotics) ; System Performance and Evaluation ; The Computing Profession ; Discrete Mathematics in Computer Science
    Description / Table of Contents: Semantics --- Non-angelic Concurrent Game Semantics --- A Trace Semantics for System F Parametric Polymorphism --- Categorical Combinatorics for Non Deterministic Strategies on Simple Games --- A Syntactic View of Computational Adequacy --- Linearity --- A New Linear Logic for Deadlock-Free Session-Typed Processes --- A Double Category Theoretic Analysis of Graded Linear Exponential Comonads --- Depending on Session-Typed Processes --- FabULous Interoperability for ML and a Linear Language --- Concurrency --- Automata for True Concurrency Properties --- A Theory of Encodings and Expressiveness --- A Framework for Parameterized Monitorability --- Logics for Bisimulation and Divergence --- Lambda-Calculi and Types --- Call-by-need, Neededness and All That --- Fitch-Style Modal Lambda Calculi --- Realizability Interpretation and Normalization of Typed Call-by-Need --- Quotient Inductive-Inductive Types --- Category Theory and Quantum Control --- Guarded Traced Categories --- Proper Semirings and Proper Convex Functors --- From Symmetric Pattern-Matching to Quantum Control --- Quantitative Models --- The Complexity of Graph-Based Reductions for Reachability in Markov Decision Processes --- A Hierarchy of Scheduler Classes for Stochastic Automata --- Symbolically Quantifying Response Time in Stochastic Models using Moments and Semirings --- Comparator Automata in Quantitative Verification --- Logics and Equational Theories --- Modular Tableaux Calculi for Separation Theories --- Differential Calculus with Imprecise Input and its Logical Framework --- The Effects of Adding Reachability Predicates in Propositional Separation Logic --- The Equational Theory of the Natural Join and of Inner Union is Decidable --- Graphs and Automata --- Minimization of Graph Weighted Models over Circular Strings --- Games on Graphs with a Public Signal Monitoring --- WQO Dichotomy for 3-Graphs --- Verifying Higher-Order Functions with Tree Automata
    Pages: Online-Ressource (XV, 583 pages) , 75 illustrations
    ISBN: 9783319893662
    Language: English
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  • 7
    Keywords: Computer science ; Special purpose computers ; Computer security ; User interfaces (Computer systems) ; Artificial intelligence ; Image processing ; Computer Science ; Information Systems Applications (incl. Internet) ; User Interfaces and Human Computer Interaction ; Artificial Intelligence (incl. Robotics) ; Systems and Data Security ; Image Processing and Computer Vision ; Special Purpose and Application-Based Systems
    Description / Table of Contents: This book is published open access under a CC BY license. This book constitutes the proceedings of the 5th International Workshop on Symbiotic Interaction, Symbiotic 2016, held in Padua, Italy, in October 2016. The 12 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 23 submissions. The idea of symbiotic systems put forward in this workshop capitalizes on the computers’ ability to implicitly detect the users goals, preferences or/and psycho-physiological states and thereby enhancing human-computer interaction (HCI). The papers present an overview of the symbiotic relationships between humans and computers with emphasis on user-driven research on symbiotic systems, adaptive systems, implicit input data, physiological computing and BCI, but also on understanding the nature of the interdependence and agency between computers and humans more broadly
    Pages: Online-Ressource (XIV, 182 pages) , 51 illustrations
    ISBN: 9783319577531
    Language: English
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  • 8
    Keywords: Computer science ; Special purpose computers ; Database management ; User interfaces (Computer systems) ; Artificial intelligence ; Computer Science ; Artificial Intelligence (incl. Robotics) ; User Interfaces and Human Computer Interaction ; Database Management ; Special Purpose and Application-Based Systems
    Description / Table of Contents: Can Machines Design? Optimizing User Interfaces for Human Performance --- Geometrical Shapes Rendering on a Dot-Matrix Display --- Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM --- Adjustable Autonomy for UAV Supervision Applications Through Mental Workload Assessment Techniques --- Classification of Motor Imagery Based EEG Signals Using Sparsity Approach --- Mental Workload Assessment for UAV Traffic Control Using Consumer-Grade BCI Equipment --- Improving Classification Performance by Combining Feature Vectors with A Boosting Approach for Brain Computer Interface (BCI) --- List Navigation Using Edge Menu --- Simplexity and Vicariance. On Human Cognition Principles for Man-Machine Interaction --- Design Considerations for Self-paced Interactive Notes on Video Lectures - A Learner's Perspective and Enhancements of Learning Outcome --- Using Psycholinguistic Features for the Classification of Comprehenders from Summary Speech Transcripts --- Lector: Towards Reengaging Students in the Educational Process Inside Smart Classrooms --- Predicting Driver's Work Performance in Driving Simulator Based on Physiological Indices --- Interpersonal Human-Human and Human-Robot Interactions --- Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions --- Standard Co-training in Multiword Expression Detection --- Comparative Study on Normalization in Emotion Recognition from Speech --- Detecting Vigilance in People Performing Continual Monitoring Task
    Pages: Online-Ressource (XVIII, 216 pages) , 78 illustrations
    ISBN: 9783319720388
    Language: English
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  • 9
    Keywords: Computer science ; Computer communication systems ; Software engineering ; Mathematical statistics ; Computers ; Artificial intelligence ; Computer graphics ; Computer Science ; Information Systems and Communication Service ; Artificial Intelligence (incl. Robotics) ; Computer Communication Networks ; Software Engineering/Programming and Operating Systems ; Probability and Statistics in Computer Science ; Computer Imaging, Vision, Pattern Recognition and Graphics
    Description / Table of Contents: Smart algorithms --- Data classification and processing --- Stochastic modelling --- Performance evaluation --- Queuing systems --- Wireless networks and security --- Image processing and computer vision
    Pages: Online-Ressource (XIII, 278 pages) , 75 illustrations
    ISBN: 9783319472171
    Language: English
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  • 10
    Unknown
    Cham : Springer
    Keywords: Computer science ; Computer organization ; Computers ; Artificial intelligence ; Computer simulation ; Computer Science ; Computer Systems Organization and Communication Networks ; Information Systems and Communication Service ; Artificial Intelligence (incl. Robotics) ; Simulation and Modeling
    Description / Table of Contents: Preface --- Part I: The Concept of Anti-Fragility: 1 Introduction --- 2 Achieving Anti-Fragility --- 3 The Need to Build Trust --- 4 Principles Ensuring Anti-Fragility --- Part II: Anti-Fragility to Downtime: 5 Anti-Fragile Cloud Solutions --- 6 An Anti-Fragile e-Government System --- 7 Anti-Fragile Cloud-Based Telecom Systems --- Part III: Anti-Fragility to Malware: 8 Robustness to Malware Spreading --- 9 Robustness to Malware Reinfections --- 10 Anti-Fragility to Malware Spreading --- Part IV: Anomaly Detection: 11 The Cortical Learning Algorithm --- 12 Detecting Anomalies with the CLA --- Part V: Future Anti-Fragile Systems: 13 Summary and Future Work --- About the Author --- References --- Index
    Pages: Online-Ressource (XVIII, 151 pages) , 44 illustrations, 22 illustrations in color
    ISBN: 9783319300702
    Language: English
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  • 11
    Keywords: Computer science ; Artificial intelligence ; Computer Science ; Artificial Intelligence (incl. Robotics)
    Description / Table of Contents: Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions. Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms. Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning
    Pages: Online-Ressource (XIX, 268 pages) , 88 illustrations
    ISBN: 9781430259909
    Language: English
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  • 12
    Keywords: Computer science ; Computers ; Database management ; Artificial intelligence ; Computer Science ; Database Management ; Artificial Intelligence (incl. Robotics) ; Information Systems and Communication Service
    Description / Table of Contents: Introduction to LOD2, Sören Auer --- Advances in Large-scale RDF Data --- Knowledge Base Creation, Enrichment and Repair --- Interlinking and Knowledge Fusion --- Facilitating the Exploration and Visualization of Linked Data --- Supporting the Linked Data life cycle using an integrated tool stack --- LOD2 for Media and Publishing --- Building Enterprise Ready Applications Using Linked Open Data --- Lifting Open Data Portals to the Data Web --- Linked Open Data for Public Procurement
    Pages: Online-Ressource (VII, 215 pages) , 73 illustrations
    ISBN: 9783319098463
    Language: English
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  • 13
    Keywords: Computer science ; Computer communication systems ; Data mining ; User interfaces (Computer systems) ; Artificial intelligence ; Pattern recognition ; Computer Science ; Artificial Intelligence (incl. Robotics) ; Data Mining and Knowledge Discovery ; Information Systems Applications (incl. Internet) ; User Interfaces and Human Computer Interaction ; Pattern Recognition ; Computer Communication Networks
    Description / Table of Contents: Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied originates from one domain.   The focus of this book, and the BISON project from which the contributions originate, is a network-based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of seeking well-defined global or local patterns, the aim was to find domain-bridging associations. These are particularly interesting if they are sparse and have not been encountered before.   The 32 contributions presented in this state-of-the-art survey, together with a detailed introduction to the book, are organized in topical sections on bisociation; representation and network creation; network analysis; exploration; and applications and evaluation.  
    Pages: Online-Ressource (X, 486 pages) , 146 illustrations
    ISBN: 9783642318306
    Language: English
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  • 14
    Keywords: Computer science ; Computer communication systems ; Data mining ; User interfaces (Computer systems) ; Artificial intelligence ; Pattern recognition ; Computer Science ; Artificial Intelligence (incl. Robotics) ; Data Mining and Knowledge Discovery ; Information Systems Applications (incl. Internet) ; User Interfaces and Human Computer Interaction ; Pattern Recognition ; Computer Communication Networks
    Description / Table of Contents: Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied originates from one domain.   The focus of this book, and the BISON project from which the contributions originate, is a network-based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of seeking well-defined global or local patterns, the aim was to find domain-bridging associations. These are particularly interesting if they are sparse and have not been encountered before.   The 32 contributions presented in this state-of-the-art survey, together with a detailed introduction to the book, are organized in topical sections on bisociation; representation and network creation; network analysis; exploration; and applications and evaluation.  
    Pages: Online-Ressource (X, 486 pages) , 146 illustrations
    ISBN: 9783642318306
    Language: English
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