Search Results - (((((((kent OR want) OR antie) OR wanting) OR cantor) OR anne) OR win) OR wanting) algorithms.

Algorithmic trading : winning strategies and their rationale / by Chan, Ernest P., 1966-

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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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Theory of randomized search heuristics : foundations and recent developments

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

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Bayesian modeling using WinBUGS by Ntzoufras, Ioannis, 1973-

Table of Contents: “…Introduction to Bayesian inference -- Markov chain Monte Carlo algorithms in Bayesian inference -- WinBUGS software : introduction, setup, and basic analysis -- WinBUGS software : illustration, results, and further analysis -- Introduction to Bayesian models : normal models -- Incorporating categorical variables in normal models and further modeling issues -- Introduction to generalized linear models : binomial and Poisson data -- Models for positive continuous data, count data, and other GLM-based extensions -- Bayesian hierarchical models -- The predictive distribution and model checking -- Bayesian model and variable evaluation -- Appendix A : Model specification via directed acyclic graphs : the DOODLE menu -- Appendix B : The batch mode : running a model in the background using scripts -- Appendix C : Checking convergence using CODA/BOA -- Appendix D : Notation summary.…”
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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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Modern anti-windup synthesis : control augmentation for actuator saturation by Zaccarian, Luca

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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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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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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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Optimization and anti-optimization of structures under uncertainty by Elishakoff, Isaac

Table of Contents: “…Formulation of the two-level optimization-anti-optimization problem. 9.4. Algorithms for two-level optimization-anti-optimization. 9.5. …”
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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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