Search Results - (((((((ant OR wante) OR semantic) OR arts) OR cantor) OR anne) OR maarten) OR mantis) algorithms.

Technologies for Engineering Manufacturing Systems Control in Closed Loop. by Preuße, Sebastian

Table of Contents: “…Intro; 1 Introduction; 2 Basic Principles; 2.1 Technologies for studying Behavior; 2.2 Plants; 2.3 Controllers; 2.3.1 IEC 61131-3; 2.3.2 IEC 61499-1; 2.4 System Models; 2.4.1 Syntax; 2.4.2 Semantics; 2.5 Basics of Specifications; 2.5.1 Computation Tree Logic; 2.5.2 Extended Computation Tree Logic; 2.5.3 Timed Computation Tree Logic; 2.5.4 Symbolic Timing Diagrams; 2.6 Closed-Loop Composition; 2.7 Model Checking; 2.7.1 General Remarks; 2.7.2 Model Checking Algorithm; 2.8 Summary; 3 Formal Modeling of Plant, Controller, and the Closed Loop; 3.1 Demonstration Example; 3.2 Formal Plant Modeling.…”
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Computational intelligence in aerospace sciences

Table of Contents: “…Coello Coello and Oliver Schütze ; Function landscapes and the difficulty of global optimization / Marco Locatelli ; Stochastic methods for single objective global optimization / Christian Lorenz Müller ; Uncertainty quantification in computational science / Gianluca Iaccarino ; Basic concepts of game theory for aerospace engineering applications / Lina Mallozzi -- Autonomy and robotics: Nonlinear state estimation algorithms for autonomous vehicles / Kumar Pakki Bharani Chandra and Da-Wei Gu ; Path planning algorithms in 2-D and 3-D obstacle-rich environments / Rosli Omar, Batu Pahat, Da-Wei Gu; Semantics of perception and action for symbolic reasoning in aerospace systems Sandor M. …”
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Insect media : an archaeology of animals and technology by Parikka, Jussi, 1976-

Table of Contents: “…Introduction: insects in the age of technology -- Nineteenth-century insect technics the uncanny affects of insects -- Genesis of form: insect architecture and swarms -- Technics of nature and temporality: Uexküll's ethology -- Metamorphosis, intensity, and devouring space: elements for an insect game theory -- Intermezzo -- Animal ensembles, robotic affects: bees, milieus, and individuation -- Biomorphs and boids: swarming algorithms -- Sexual selection in the biodigital: teknolust and the weird life of SRAs -- Epilogue insect media as an art of transmutation.…”
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An Eulerian Discontinuous Galerkin Method for the Numerical Simulation of Interfacial Transport. by Kallendorf, Christina

Table of Contents: “…List of Figures; Nomenclature; List of Tables; Nomenclature; 1 Introduction; 2 Equations of the Physical Model; 3 State of the Art of Numerical Methods; 4 An Introduction to DG Methods; 5 New Conservation Laws of SurfaceTransport Equations; 6 Exact Solutions to the Interfacial Surfactant Transport Equation; 7 A Narrow Band Method for the Eulerian Approach; 8 The Eulerian DG Algorithm and Numerical Results; 9 Conclusion; A Appendix.…”
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Optimization in polymer processing

Table of Contents: “…INTRODUCTION ; 2. STATE-OF-THE-ART ; 3. OPTIMIZATION METHODOLOGY.…”
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Information Theory Meets Power Laws : Stochastic Processes and Language Models. by Dębowski, Łukasz Jerzy, $$d 1975- $$e author

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International e-Conference of Computer Science 2006

Table of Contents: “…A Computational Algorithm to Obtain the Law of the Solvable Lie Algebra of n x n Upper-Triangular MatricesWeb Data Extraction using Semantic Generators -- Integrity-Enhanced Improvements for ISO 9001 registeredOrganizations -- A Ghost Bit Based Finite Field Arithmetic for FPGAs -- A Scalable Finite Field Multiplier with Interleaving Reduction -- Intelligent Tutoring Systems and Convex Geometries -- Towards Operational Content Infrastructure -- A Computational Fusion of Wavelets and Neural Networks in a Classifier for Biomedical Applications…”
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STAIRS 2010 : Proceedings of the Fifth Starting AI Researchers' Symposium. by Ågotnes, Thomas

Table of Contents: “…; Generative Structure Learning for Markov Logic Networks; Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System; Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval.…”
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Communicating process architectures 2009 : WoTUG-32

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F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

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Introduction to network security : theory and practice by Wang, Jie, 1961-

Table of Contents: “…Front Matter -- Network Security Overview -- Data Encryption Algorithms -- Public-Key Cryptography and Key Management -- Data Authentication -- Network Security Protocols in Practice -- Wireless Network Security -- Cloud Security -- Network Perimeter Security -- Intrusion Detections -- The Art of Anti-Malicious Software -- 7-bit ASCII code -- SHA-512 Constants (in Hexadecimal) -- Data Compression Using ZIP -- Base64 Encoding -- Cracking WEP Keys Using WEPCrack -- Acronyms -- Further Readings -- Index.…”
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Advances in digital technologies : proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015

Table of Contents: “…Application of Genetic Algorithms to Context-Sensitive Text MiningA Decision Tree Classification Model for Determining the Location for Solar Power Plant; A Framework for Multi-Label Learning Using Label Ranking and Correlation; A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5; Subject Index; Author Index.…”
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Logic and Discrete Mathematics : A Concise Introduction, Solutions Manual. by Conradie, Willem

Table of Contents: “…Valid and invalid propositional inferences -- 3.3 Semantic tableaux -- 3.4 Logical equivalences. Negating propositional formulae -- 3.5 Normal forms. …”
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Logic and Discrete Mathematics : A Concise Introduction. by Conradie, Willem

Table of Contents: “…Valid and invalid propositional inferences -- 3.3 The concept and use of deductive systems -- 3.4 Semantic tableaux -- 3.5 Logical equivalences. Negating propositional formulae -- 3.6 Normal forms. …”
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Anaphora Resolution. by Mitkov, Ruslan

Table of Contents: “…2.1.2 Syntactic knowledge2.1.3 Semantic knowledge; 2.1.4 Discourse knowledge; 2.1.5 Real-world (common-sense) knowledge; 2.2 Anaphora resolution in practice; 2.2.1 Identification of anaphors; 2.2.1.1 Identification of anaphoric pronouns; 2.2.1.2 Identification of anaphoric noun phrases; 2.2.1.3 Tools and resources for the identification of anaphors; 2.2.2 Location of the candidates for antecedents; 2.2.2.1 The search scope of candidates for antecedent; 2.2.2.2 Tools and resources needed for the location of potential candidates; 2.2.3 The resolution algorithm: factors in anaphora resolution.…”
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Enterprise AI for Dummies. by Jarvinen, Zachary

Table of Contents: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Strong, Weak, General, and Narrow -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Exploring Practical AI and How It Works -- Chapter 1 Demystifying Artificial Intelligence -- Understanding the Demand for AI -- Converting big data into actionable information -- Relieving global cost pressure -- Accelerating product development and delivery -- Facilitating mass customization -- Identifying the Enabling Technology -- Processing -- Algorithms…”
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Insight into Theoretical and Applied Informatics : Introduction to Information Technologies and Computer Science. by Yatsko, Andrzej

Table of Contents: “…1.2.7 Informatics and Economics1.3 Information Theory; 1.3.1 Quantities of Information; 1.3.1.1 Units for Measuring Computer Information; 1.3.1.2 Quantities of Information in Information Theory; 1.3.2 Coding Theory; 1.3.3 Semiotics; 1.3.3.1 Computational Semiotics; 2 Algorithmics; 2.1 The Science of Algorithms; 2.1.1 Algorithm Design; 2.1.2 Algorithmic Complexity Theory; 2.1.3 Algorithm Analysis; 2.2 Data Science (Datalogy); 2.2.1 Raw Data; 2.2.2 Data Structures; 2.2.3 Data Analysis (Data Analytics); 2.2.4 Data Mining; 3 Computer Programming; 3.1 Computer Programming Languages.…”
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Recent Advances in Natural Language Processing : Selected Papers from RANLP'95

Table of Contents: “…An augmented Earley algorithm for repair; 5.1 String representations; 5.2 Augmentations to the standard algorithm; 5.3 The augmented algorithm; 5.4 Remarks; 6 Conclusion; REFERENCES; Parsing for Targeted Errors in Controlled Languages; Abstract; 1. …”
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Machine Learning for Mobile : Practical Guide to Building Intelligent Mobile Applications Powered by Machine Learning. by Gopalakrishnan, Revathi

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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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