Search Results - learning with errors problems

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  1. 1

    Applied Deep Learning A Case-Based Approach to Understanding Deep Neural Networks / by Michelucci, Umberto

    ISBN: 9781484237908
    Published: Berkeley, CA : Apress, 2018.

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  2. 2

    Bad Programming Practices 101 Become a Better Coder by Learning How (Not) to Program / by Beecher, Karl

    ISBN: 9781484234112
    Published: Berkeley, CA : Apress, 2018.

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  3. 3

    Excel 2016 in Applied Statistics for High School Students A Guide to Solving Practical Problems / by Quirk, Thomas J.

    ISBN: 9783319899930
    ISSN: 2570-4605
    Published: Cham : Springer International Publishing, 2018.

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  4. 4

    Modern API Design with ASP.NET Core 2 Building Cross-Platform Back-End Systems / by Reynders, Fanie

    ISBN: 9781484235195
    Published: Berkeley, CA : Apress, 2018.

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  5. 5

    Time Series Analysis and Forecasting Selected Contributions from ITISE 2017 /

    ISBN: 9783319969442
    ISSN: 1431-1968
    Published: Cham : Springer International Publishing, 2018.
    Table of Contents: “…Preface -- Advanced Mathematical Methodologies in Time Series -- Forecasting via Fokker-Planck using conditional probabilities -- Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator -- Further Results on Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors -- A New Estimation Technique for AR(1) Model with Long-tailed Symmetric Innovations -- Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space -- Eigenvalues distribution limit of covariance matrices with AR processes entries -- Computational Intelligence Methods for Time Series -- Deep Learning for Detection of BGP Anomalies -- Using Scaling Methods to Improve Support Vector Regression's Performance for Travel Time and Traffic Volume Predictions -- Dimensionality Reduction and Similarity Measures in Time Series -- Linear Trend Filtering via Adaptive Lasso -- Detecting Discords in Quasi Periodic Time-series Data - A Case Study with Electrocardiogram Data -- Similarity Analysis of Time Interval Data Sets - A Graph Theory Approach -- Logical Comparison Measures in Classification of Data -- Econometric Models -- Asymptotic and Bootstrap Tests For a Change in Autoregression Omitting Variability Estimation -- Distance Between VARMA Models and its Application to Spatial Differences Analysis in the Relationship GDP - Unemployment Growth Rate in Europe -- Copulas for Modeling the Relationship between the Inflation and the Exchange Rates -- Energy Time Series Forecasting -- Fuel Consumption Estimation for Climbing Phase -- Time Series Optimization for Energy Prediction in Wi-Fi Infrastructures -- An econometric analysis of the merit order effect in electricity spot price: the Germany case -- Forecasting in Real Problems -- The analysis of variability of short data sets based on Mahalanobis distance calculation and surrogate time series testing -- On generalized additive models with dependent time series covariates -- A Bayesian Approach to Astronomical Time Delay Estimations -- Further Results on a Modified EM Algorithm for Parameter Estimation in Linear Models with Time-Dependent Autoregressive and t-Distributed Errors. .…”

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  6. 6

    MySQL Connector/Python Revealed SQL and NoSQL Data Storage Using MySQL for Python Programmers / by Krogh, Jesper Wisborg

    ISBN: 9781484236949
    Published: Berkeley, CA : Apress, 2018.

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  7. 7

    Nonparametric Statistics 3rd ISNPS, Avignon, France, June 2016 /

    ISBN: 9783319969411
    ISSN: 2194-1009 ;
    Published: Cham : Springer International Publishing, 2018.
    Table of Contents: “…Knight) -- Bootstrapping Nonparametric M-Smoothers with Independent Error Terms (M. Maciak) -- Probability Bounds for Active Learning in the Regression Problem (A. …”

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  8. 8

    Monte Carlo and Quasi-Monte Carlo Methods MCQMC 2016, Stanford, CA, August 14-19 /

    ISBN: 9783319914367
    ISSN: 2194-1009 ;
    Published: Cham : Springer International Publishing, 2018.
    Table of Contents: “…Frazier, Stratified Bayesian Optimization -- Part III Regular talks, Christoph Aistleitner, Dmitriy Bilyk, and Aleksandar Nikolov, Tusnady's Problem, the Transference Principle, and Non-Uniform QMC Sampling -- Ken Dahm and Alexander Keller, Learning Light Transport the Reinforced Way -- Adrian Ebert, Hernan Leovey, and Dirk Nuyens, Successive Coordinate Search and Component-by-Component Construction of Rank-1 Lattice Rules -- Wei Fang and Michael B. …”

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  9. 9

    Practical Tools for Designing and Weighting Survey Samples by Valliant, Richard

    ISBN: 9783319936321
    ISSN: 2199-7357
    Published: Cham : Springer International Publishing, 2018.

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  10. 10

    Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF 2018 /

    ISBN: 9783319898247
    Published: Cham : Springer International Publishing, 2018.
    Table of Contents: “…Perla, Numerical solution of the regularized portfolio selection problem -- 21 N. Ahlgren and P. Catani, Practical Problems with Tests of Cointegration Rank with Strong Persistence and Heavy-Tailed Errors -- 22 M. …”

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  11. 11

    Physically Unclonable Functions From Basic Design Principles to Advanced Hardware Security Applications / by Halak, Basel

    ISBN: 9783319768045
    Published: Cham : Springer International Publishing, 2018.

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  12. 12

    Handbook of Mathematical Geosciences Fifty Years of IAMG /

    ISBN: 9783319789996
    Published: Cham : Springer International Publishing, 2018.
    Table of Contents: “…Chapter 41 Mathematical Geology by Example: Teaching and Learning Perspectives. .…”

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  13. 13

    Hydrologic Modeling Select Proceedings of ICWEES-2016 /

    ISBN: 9789811058011
    ISSN: 0921-092X ;
    Published: Singapore : Springer Singapore , 2018.

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