Search Results - (((((((ant OR arts) OR vian) OR data) OR cantor) OR anne) OR walted) OR wanting) algorithms.

Geometry with trigonometry by Barry, Patrick D.

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Effective CRM using predictive analytics by Chorianopoulos, Antonios

Table of Contents: “…Title Page; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1 An overview of data mining: The applications, the methodology, the algorithms, and the data; 1.1 The applications; 1.2 The methodology; 1.3 The algorithms; 1.3.1 Supervised models; 1.3.1.1 Classification models; 1.3.1.2 Estimation (regression) models; 1.3.1.3 Feature selection (field screening); 1.3.2 Unsupervised models; 1.3.2.1 Cluster models; 1.3.2.2 Association (affinity) and sequence models; 1.3.2.3 Dimensionality reduction models; 1.3.2.4 Record screening models; 1.4 The data; 1.4.1 The mining datamart.…”
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Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions. by Corlito, Roberto

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Image reconstruction : applications in medical sciences by Zeng, Gengsheng Lawrence

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

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Big Data Analytics with R. by Walkowiak, Simon

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Data analysis and related applications. 2, Multivariate, health and demographic data analysis

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Coding theory : algorithms, architectures, and applications by Neubauer, Andre

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Automatic modulation classification : principles, algorithms, and applications by Zhu, Zhechen

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Canadian Conference on Computational Geometry : CCCG '96 : proceedings of the 8th Canadian Conference on Computational Geometry, Carleton University, Ottawa, Canada, August 12-15,...

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Parallel Scientific Computing. by Magoulès, F. (Frédéric)

Table of Contents: “…Performance analysis -- 3 Parallel Algorithm Concepts -- 3.1. Parallel algorithms for recurrences -- 3.2. …”
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Current trends in scientific computing : ICM 2002 Beijing Satellite Conference on Scientific Computing, August 15-18, 2002, Xi'an Jiaotang University, Xi'an, China

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Computational mathematics in China

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Quantitative graph theory : mathematical foundations and applications

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

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Introductory aerodynamics and hydrodynamics of wings and bodies : a software-based approach by Smetana, Frederick O., 1928-

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Predictive Analytics For Dummies. by Bari, Anasse

Table of Contents: “…Contextual searchDifferentiating Business Intelligence from Big-Data Analytics; Exploration of Raw Data; Identifying data attributes; Exploring common data visualizations; Tabular visualizations; 3Word clouds; Flocking birds as a novel data representation; Graph charts; Common visualizations; Part 2 Incorporating Algorithms in Your Models; Chapter 5 Applying Models; Modeling Data; Models and simulation; Categorizing models; Describing and summarizing data; Making better business decisions; Healthcare Analytics Case Studies; Google Flu Trends; Cancer survivability predictors.…”
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Data Mining and Statistics for Decision Making by Tufféry, Stéphane, Tufféry, Stéphane

Table of Contents: “…Some empirical rules for network design -- 8.5. Data normalization -- 8.6. Learning algorithms -- 8.7. …”
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Data Analytics Applied to the Mining Industry. by Soofastaei, Ali

Table of Contents: “…The Role of People in Digital Mining Transformation for Future Mining -- The Role of Process in Mining Digital Transformation for Future Mining -- The Role of Technology in Mining Digital Transformation for Future Mining -- Academy Responsibilities in Mining DT Improvement -- Summary -- References -- 2. Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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Handbook of Satisfiability : Handbook of Satisfiability. by Biere, A.

Table of Contents: “…Random Satisfiability; 8.1 Introduction; 8.2 The State of the Art; 8.3 Random MAX k-SAT; 8.4 Physical Predictions for Solution-space Geometry; 8.5 The Role of the Second Moment Method; 8.6 Generative models; 8.7 Algorithms; 8.8 Belief/Survey Propagation and the Algorithmic Barrier.…”
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