Search Results - (((((((ant OR cantee) OR wanting) OR wanted) OR cantor) OR anne) OR start) OR partes) algorithms.

Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

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Evolutionary algorithms for mobile ad hoc networks

Table of Contents: “…SERIES PAGE; TITLE PAGE; COPYRIGHT PAGE; DEDICATION; PREFACE; PART I: BASIC CONCEPTS AND LITERATURE REVIEW; 1 INTRODUCTION TO MOBILE AD HOC NETWORKS; 1.1 MOBILE AD HOC NETWORKS; 1.2 VEHICULAR AD HOC NETWORKS; 1.3 SENSOR NETWORKS; 1.4 CONCLUSION; REFERENCES; 2 INTRODUCTION TO EVOLUTIONARY ALGORITHMS; 2.1 OPTIMIZATION BASICS; 2.2 EVOLUTIONARY ALGORITHMS; 2.3 BASIC COMPONENTS OF EVOLUTIONARY ALGORITHMS; 2.4 PANMICTIC EVOLUTIONARY ALGORITHMS; 2.5 EVOLUTIONARY ALGORITHMS WITH STRUCTURED POPULATIONS; 2.6 MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; 2.7 CONCLUSION; REFERENCES.…”
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Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…6.1.4 Evaluation Metrics -- 6.1.4.1 Precision-Recall Curve -- 6.1.4.2 Average Precision and Mean Average Precision -- 6.1.5 Applications -- 6.2 Preliminaries on Object Detection with Deep Models -- 6.2.1 Two-stage Algorithms -- 6.2.1.1 R-CNNs -- 6.2.1.2 R-FCN -- 6.2.2 One-stage Algorithms -- 6.2.2.1 YOLO -- 6.2.2.2 SSD -- 6.3 Object Detection in Optical RS Images -- 6.3.1 Related Works -- 6.3.1.1 Scale Variance -- 6.3.1.2 Orientation Variance -- 6.3.1.3 Oriented Object Detection -- 6.3.1.4 Detecting in Large-size Images -- 6.3.2 Datasets and Benchmark -- 6.3.2.1 DOTA -- 6.3.2.2 VisDrone…”
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Meta-heuristic and evolutionary algorithms for engineering optimization by Bozorg-Haddad, Omid, 1974-, Solgi, Mohammad, 1989-, Loaiciga, Hugo A.

Table of Contents: “…Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).…”
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Uberland : how algorithms are rewriting the rules of work by Rosenblat, Alex, 1987-

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The ultimate algorithmic trading system toolbox + website : using today's technology to help you become a better trader by Pruitt, George, 1967-

Table of Contents: “…; Oscillators; Price-Based Indicators; Summary; Chapter 3: Complete Trading Algorithms; Trend-Trading Battle Royale; Portfolio Composition; Multi-Algorithm Strategy (MAS); Summary; Chapter 4: Introduction to AmiBroker's AFL; Quick Start; Price Bar Interface.…”
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Nonlinear and adaptive control : tools and algorithms for the user by Astolfi, A. (Alessandro)

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Engineering an Algorithm for Reducing Variation in Manufacturing Processes. by Steiner, Stefan H.

Table of Contents: “…Material on Enclosed CD-ROM; Figures and Tables; Acknowledgments; Preface; 1 Introduction; PART I Setting the Stage; 2 Describing Processes; 3 Seven Approaches to Variation Reduction; 4 An Algorithm for Reducing Variation; 5 Obtaining Process Knowledge Empirically; PART II Getting Started; 6 Defining a Focused Problem; 7 Checking the Measurement System; 8 Choosing a Working Variation Reduction Approach; PART III Finding a Dominant Cause of Variation; 9 Finding a Dominant Cause Using the Method of Elimination; 10 Investigations to Compare Two Families of Variation.…”
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Oracle Blockchain Quick Start Guide : a Practical Approach to Implementing Blockchain in Your Enterprise. by Acharya, Vivek

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Apache Spark Quick Start Guide : Quickly Learn the Art of Writing Efficient Big Data Applications with Apache Spark. by Mehrotra, Shrey

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Algorithmic and artificial intelligence methods for protein bioinformatics

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Diffuse algorithms for neural and neuro-fuzzy networks : with applications in control engineering and signal processing by Skorohod, Boris A.

Table of Contents: “…Front Cover; Diffuse Algorithms for Neural and Neuro-Fuzzy Networks; Copyright Page; Contents; List of Figures; List of Tables; Preface; 1 Introduction; 1.1 Separable Models of Plants and Training Problems Associated With Them; 1.1.1 Separable Least Squares Method; 1.1.2 Perceptron With One Hidden Layer; 1.1.3 Radial Basis Neural Network; 1.1.4 Neuro-Fuzzy Network; 1.1.5 Plant Models With Time Delays; 1.1.6 Systems With Partly Unknown Dynamics; 1.1.7 Recurrent Neural Network; 1.1.8 Neurocontrol; 1.2 The Recursive Least Squares Algorithm With Diffuse and Soft Initializations.…”
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Randomization, Relaxation, and Complexity in Polynomial Equation Solving. by Gurvits, Leonid

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Fuzzy modeling and genetic algorithms for data mining and exploration by Cox, Earl

Table of Contents: “…Part I Concepts and Issues; Chapter 1 Foundations and Ideas; Chapter 2 Principal Model Types; Chapter 3 Approaches to Model Building; Part II Fuzzy Systems; Chapter 4 Fundamental Concepts of Fuzzy Logic; Chapter 5 Fundamental Concepts of Fuzzy Systems; Chapter 6 Fuzzy SQL and Intelligent Queries; Chapter 7 Fuzzy Clustering; Chapter 8 Fuzzy Rule Induction; Part III Evolutionary Strategies; Chapter 9 Fundamental Concepts of Genetic Algorithms; Chapter 10 Genetic Resource Scheduling Optimization; Chapter 11 Genetic Tuning of Fuzzy Models; Index.…”
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Network routing : algorithms, protocols, and architectures by Medhi, Deepankar

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Between stillness and motion : film, photography, algorithms

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Computer and machine vision : theory, algorithms, practicalities by Davies, E. R. (E. Roy)

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Computational aspects of discrete subgroups of lie groups : Virtual Conference on Computational Aspects of Discrete Subgroups of Lie Groups, June 14-18, 2021, Institute for Computa...

Table of Contents: “…Testing for nondistortion. Part III -- 11. Selberg's higher rank generalization of Dirichlet domain and the Poincaré Algorithm -- 12. …”
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We are data : algorithms and the making of our digital selves by Cheney-Lippold, John

Table of Contents: “…-- Privacy: wanted dead or alive -- Conclusion: ghosts in the machine.…”
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