Search Results - (((((((kant OR kent) OR ken) OR mantis) OR cantor) OR anne) OR warten) OR wanting) algorithms.

Theory of randomized search heuristics : foundations and recent developments

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Multiple biological sequence alignment : scoring functions, algorithms and applications by Nguyen, Ken, 1975-, Guo, Xuan, 1987-, Pan, Yi, 1960-

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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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An Introduction to Algorithmic Trading : Basic to Advanced Strategies. by Leshik, Edward, Cralle, Jane

Table of Contents: “…Introduction to trading algorithms. History ; All about trading algorithms you ever wanted to know ... ; Algos defined and explained ; Who uses and provides algos ; Why have they become mainstream so quickly? …”
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Graph algorithms and applications 3

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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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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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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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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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All Source Positioning, Navigation and Timing by Li, Rongsheng, Ph. D.

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A guide to creating a successful algorithmic trading strategy by Kaufman, Perry J.

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Artificial neural systems : principle and practice by Lorrentz, Pierre

Table of Contents: “…INTRODUCTIONDENSITY BASED ALGORITHMS: CLUSTERING ALGORITHMS; NATURE-BASED ALGORITHMS; Evolutionary Algorithm and Programming ; Genetic Algorithm; GA Operators; APPLICATIONS OF GENETIC ALGORITHM; NETWORK METHOD: EDGES AND NODES; MULTI-LAYERED PERCEPTRON; REAL-TIME APPLICATIONS OF STATE-OF-THE-ART ANN SYSTEMS; DEFINITION OF ARTIFICIAL NEURAL NETWORKS (ANN); Intelligence; An Artificial Neural Network (ANN) system; PERFORMANCE MEASURES; Receiver's Operating Characteristics (ROC); Hypothesis Testing; Chi-squared (Goodness-of-fit) Test; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES…”
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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x by Lesmeister, Cory

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Turing's vision : the birth of computer science by Bernhardt, Chris

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Adventures in Raspberry Pi by Philbin, Carrie Anne

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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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Machine learning with Scala quick start guide : leverage popular machine learning algorithms and techniques and implement them in Scala by Karim, Md. Rezaul

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Numerical linear algebra : proceedings of the Conference in Numerical Linear Algebra and Scientific Computation, Kent (Ohio), USA, March 13-14, 1992

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