Search Results - (((((((ant OR manthe) OR find) OR semantic) OR cantor) OR anne) OR halted) OR wanting) algorithms.

Computer Vision : Principles, Algorithms, Applications, Learning. by Davies, E. R.

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Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

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Applications of multi-objective evolutionary algorithms

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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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Learning Neo4j 3.x - Second Edition. by Baton, Jerome

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Standard colorimetry : definitions, algorithms, and software by Oleari, Claudio

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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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Poems that solve puzzles : the history and science of algorithms by Bleakley, Chris

Table of Contents: “…Cover -- POEMS THAT SOLVE PUZZLES -- Copyright -- Dedication -- Foreword -- About the Author -- Contents -- Introduction -- The Trainee Librarian -- The Algorithm Machine -- 1 Ancient Algorithms -- Etched in Clay -- Uncovered at Last -- Elegance and Beauty -- Finding Primes -- 2 Ever-Expanding Circles -- Wheels Within Wheels -- World Records -- The Art of Reckoning -- Waves Upon Waves -- 3 Computer Dreams -- A Clockwork Computer -- The Turing Machine -- 4 Weather Forecasts -- Numerical Forecasts -- ENIAC -- Monte Carlo -- Computer Forecasts -- Chaos -- Long-Range Forecasts…”
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Learning JavaScript Data Structures and Algorithms : Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition. by Groner, Loiane

Table of Contents: “…Using the @@iterator objectArray entries, keys, and values; Using the from method; Using the Array.of method; Using the fill method; Using the copyWithin method; Sorting elements; Custom sorting; Sorting strings; Searching; ECMAScript 2015 -- the find and findIndex methods; ECMAScript 2016 -- using the includes method; Outputting the array into a string; The TypedArray class; Arrays in TypeScript; Summary; Chapter 4: Stacks; Creating a JavaScript data structure and algorithm library; The stack data structure; Creating an array-based Stack class; Pushing elements to the stack.…”
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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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Combining pattern classifiers : methods and algorithms by Kuncheva, Ludmila I. (Ludmila Ilieva), 1959-

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Self-learning and adaptive algorithms for business applications : a guide to adaptive neuro-fuzzy systems for fuzzy clustering under uncertainty conditions by Hu, Zhengbing, Bodyanskiy, Yevgeniy V., Tyshchenko, Oleksii

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Fundamentals of grid computing : theory, algorithms and technologies

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Romance syntax, semantics and L2 acquisition : selected papers from the 30th Linguistic Symposium on Romance Languages : Gainesville, Florida, February 2000

Table of Contents: “…ROMANCE SYNTAX, SEMANTICS AND L2 ACQUISITION -- Editorial page -- Title page -- Copyright page -- Acknowledgements -- Table of contents -- CONTRIBUTORS -- Dedication -- ROMANCE SYNTAX, SEMANTICS, AND L2 ACQUISITION -- 0. …”
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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: “…Computational setup -- 8. Finding useful words -- 9. Arithmetic and computational considerations -- 10. …”
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What Is Thought? by Baum, Eric B., 1957-

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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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Introduction to protein structure prediction : methods and algorithms

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