Search Results - (((((((ant OR span) OR santis) OR arte) OR cantor) OR anne) OR cartsr) OR mantis) algorithms.

Principles of data integration by Doan, AnHai

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Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Refinement Operator Based OWL Learning Algorithms; OCEL (OWL Class Expression Learner); Redundancy Elimination; Creating a Full Learning Algorithm; ELTL (EL Tree Learner)…”
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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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Topographical Tools for Filtering and Segmentation 2 : Flooding and Marker-Based Segmentation on Node- or Edge-weighted Graphs. by Meyer, Fernand

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Optimization in polymer processing

Table of Contents: “…INTRODUCTION ; 2. STATE-OF-THE-ART ; 3. OPTIMIZATION METHODOLOGY.…”
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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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Optical networks and components : fundamentals and advances. Volume II, Advances in optical networks and components by Sahu, Partha Pratim (Writer on optical networks)

Table of Contents: “…3.2.4 Analysis of ILP -- 3.3 Routing -- 3.3.1 Routing Algorithms -- 3.3.1.1 Dijkstra's Algorithm -- 3.3.1.2 Bellman-Ford Algorithm -- 3.3.2 Routing Approaches -- 3.3.2.1 Fixed Routing -- 3.3.2.2 Fixed-Alternate Routing -- 3.3.2.3 Flooding -- 3.3.2.4 Adaptive Routing -- 3.3.2.5 Fault-Tolerant Routing -- 3.3.2.6 Randomized Routing -- 3.4 WA Subproblem (Heuristics) -- 3.4.1 Wavelength Search Algorithm -- 3.4.1.1 Exhaustive Search -- 3.4.1.2 Tabu Search -- 3.4.1.3 Simulated Annealing -- 3.4.1.4 Genetic Algorithms -- 3.4.2 WA Heuristics -- 3.4.2.1 Random WA (R) -- 3.4.2.2 First-Fit (FF) Approach…”
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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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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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Behavioral formation : volatile design processes & the emergence of a strange specificity by Snooks, Roland

Table of Contents: “…Intro -- ACKNOWLEDGMENTS -- PREFACE -- INTRODUCTION -- BEHAVIORAL METHODOLOGIES -- FIBROUS ASSEMBLAGES -- FIBROUS TOWER -- POLYSCALAR TECTONICS -- MULTI-AGENT ALGORITHMS -- AGENTBODIES -- BABIY YAR MEMORIAL -- MANIFOLD SWARMS -- RMIT MACE -- BEHAVIORAL COMPOSITES -- COMPOSITE SWARM -- COMPOSITE WING -- RMIT MEETING PAVILION -- AGENTBODY PROTOTYPES -- NGV PAVILION -- STRIATED POLYMERS -- VOLATILITY -- AGENCY OF STRUCTURE -- STRANGE FEEDBACK -- YEOSU PAVILION -- NATIONAL ART MUSEUM OF CHINA -- STRANGE SPECIFICITY -- PAINTERLY FORMATION -- STIGMERGIC ROBOTICS -- CATALOG OF PROJECTS -- GLOSSARY OF TERMS -- BIBLIOGRAPHY.…”
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Optimization advances in electric power systems

Table of Contents: “…Unreliability Costs -- 3.5. Proposed Algorithms -- 3.5.1. ES and TS Algorithms -- 3.5.2. …”
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Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…Trees and Distance; 2.3. Minimum Spanning Tree; 2.4. Bipartite Graphs; Chapter 3Chordal Graphs; 3.1. …”
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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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Pattern recognition by Theodoridis, Sergios, 1951-

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Debates in the digital humanities 2016

Table of Contents: “…The Differences Between Digital Humanities and Digital History / Stephen Robertson -- Digital History Perpetual Future Tense / Cameron Blevins -- Collections and/of Data: Art History and the Art Museum in the DH Mode / Matthew Battles and Michael Maizels -- Archaeology, the Digital Humanities, and the "Big Tent" / Ethan Watrall ; Navigating the Global Digital Humanities: Insights from Black Feminism / Roopika Risam. …”
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Machine Learning with Core ML : an IOS Developer's Guide to Implementing Machine Learning in Mobile Apps. by Newnham, Joshua

Table of Contents: “…Learning algorithms Auto insurance in Sweden; Supported learning algorithms; Considerations ; Summary; Chapter 3: Recognizing Objects in the World; Understanding images; Recognizing objects in the world; Capturing data ; Preprocessing the data; Performing inference ; Summary ; Chapter 4: Emotion Detection with CNNs; Facial expressions; Input data and preprocessing ; Bringing it all together; Summary ; Chapter 5: Locating Objects in the World; Object localization and object detection ; Converting Keras Tiny YOLO to Core ML; Making it easier to find photos; Optimizing with batches; Summary.…”
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Function Estimates. by Marron, J. S.

Table of Contents: “…Partial spline modelling of the tropopause and other discontinuitiesChoice of smoothing parameter in deconvolution problems -- Regression approximation using projections and isotropic kernels -- Will the art of smoothing ever become a science?…”
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Handbook of foot and ankle orthopedics by Shah, Rajiv

Table of Contents: “…-- Plantar heel pain -- Growing with flat feet: childhood to adulthood -- Lucid approach and simplistic management of diabetic foot -- Common foot and ankle infections: diagnosis and management -- Art of arthrodesis in foot and ankle -- Dealing with tendo achilles problems! …”
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