Search Results - (((((((ant OR arts) OR find) OR semantic) OR cantor) OR anne) OR halted) OR ranting) algorithms.

Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Preliminaries and State of the Art; Semantic Web; History and Vision; RDF and SPARQL; Description Logics; OWL; Concept Learning and Inductive Reasoning; History, Tools, and Applications; Learning Problems in OWL/DLs; Refinement Operators in OWL/DLs; Chapter 3. …”
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Incidental findings in neuroimaging and their management a guide for radiologists, neurosurgeons, and neurologists

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Natural language processing : semantic aspects by Kapetanios, Epaminondas, Tatar, Doina, 1943-, Sacarea, Christian

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Systematic Screening for Active Tuberculosis : Principles and Recommendations

Table of Contents: “…Rationale and objectives of screening for active TB; 3.1 Challenges to TB care and control; Large pool of undetected TB; Limitations of passive case-finding using sputum-smear microscopy; Reaching the poorest people more effectively; Detecting TB early in other vulnerable groups.…”
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Simple adaptive strategies : from regret-matching to uncoupled dynamics by Hart, Sergiu

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

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Nearest-neighbor methods in learning and vision : theory and practice

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Applications of multi-objective evolutionary algorithms

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Algorithms, architectures and information systems security

Table of Contents: “…Theory of a Practical Delaunay Meshing Algorithm for a Large Class of Domains S.-W. Cheng, T.K. …”
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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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Body sensor networking, design, and algorithms by Sanei, Saeid, Jarchi, Delaram, 1983-, Constantinides, A. G.

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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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Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. by Dhope, Tanuja S.

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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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Evolutionary algorithms for mobile ad hoc networks

Table of Contents: “…3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS3.1 TAXONOMY OF THE OPTIMIZATION PROCESS; 3.2 STATE OF THE ART; 3.3 CONCLUSION; REFERENCES; 4 MOBILE NETWORKS SIMULATION; 4.1 SIGNAL PROPAGATION MODELING; 4.2 STATE OF THE ART OF NETWORK SIMULATORS; 4.3 MOBILITY SIMULATION; 4.4 CONCLUSION; REFERENCES; PART II: PROBLEMS OPTIMIZATION; 5 PROPOSED OPTIMIZATION FRAMEWORK; 5.1 ARCHITECTURE; 5.2 OPTIMIZATION ALGORITHMS; 5.3 SIMULATORS; 5.4 EXPERIMENTAL SETUP; 5.5 CONCLUSION; REFERENCES; 6 BROADCASTING PROTOCOL; 6.1 THE PROBLEM; 6.2 EXPERIMENTS; 6.3 ANALYSIS OF RESULTS; 6.4 CONCLUSION.…”
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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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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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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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