Search Results - (((((((ant OR want) OR semantic) OR win) OR cantor) OR anne) OR shame) OR hints) algorithms.

Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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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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Introduction to programming : learn to program in Java with data structures, algorithms, and logic by Samoylov, Nick

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

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

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

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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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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: “…-- Quantum Computers -- Not The End -- Appendix -- PageRank Algorithm -- Artificial Neural Network Training -- Bitcoin Algorithm -- Shor's Algorithm -- Notes -- Introduction -- Chapter 1 Ancient Algorithms -- Chapter 2 Ever-Expanding Circles…”
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Uberland : how algorithms are rewriting the rules of work by Rosenblat, Alex, 1987-

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Personality Revolution : Using AI to Understand Your Customers and Win More Business. by D'Agostino, Andrew

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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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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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Entity information life cycle for big data : master data management and information integration by Talburt, John R., Zhou, Yinle, 1986-

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Freudian unconscious and cognitive neuroscience : from unconscious fantasies to neural algorithms by Talvitie, Vesa

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Naming and reference : the link of word to object by Nelson, R. J. (Raymond John), 1917-

Table of Contents: “…Nativism and causal reference -- CHAPTER 9 Mechanism -- 1. Top-down semantics -- 2. Up from reference -- 3. Algorithms: free and embodied -- 4. …”
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Automating open source intelligence : algorithms for OSINT

Table of Contents: “…Cover; Title Page ; Copyright Page; Contents; List of Contributors; Chapter 1 -- The Automating of Open Source Intelligence; The Commercial Angle; Algorithms; References; Chapter 2 -- Named Entity Resolution in Social Media; Introduction; Evaluating Semantic Processing Performance; Characterizing Semantic Processing Errors; Meaning Loss in Biblical Proverbs: A Case Study; Models for Improving Semantic Processing Performance; Discussion; References; Chapter 3 -- Relative Cyberattack Attribution; Introduction; Basic Attack Structure; Anonymization on the Internet; Weaknesses in Anonymization.…”
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