Search Results - (((((((ant OR alter) OR find) OR kkantor) OR cantor) OR anne) OR halted) OR wanting) algorithms.

Java Data Mining - Strategy, Standard, and Practice : a Practical Guide for architecture, design, and implementation. by Hornick, Mark F.

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Learning Python Design Patterns - Second Edition. by Giridhar, Chetan

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Process control design for industrial applications by Popescu, Dumitru (Writer on computer science and engineering), Gharbi, Amira, Stefanoiu, Dan, Borne, Pierre

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Towards Cognitive Autonomous Networks : Network Management Automation for 5G and Beyond. by Mwanje, Stephen S.

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Radio Propagation in the Urban Scenario. by Franceshetti, Giorgio

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Lead generation for dummies by Rothman, Dayna

Table of Contents: “…Defining Your SEO Measurements and AnalyticsPart III: Linking Outbound Marketing with Lead Generation; Chapter 11: Helping Buyers Find You with Pay-Per-Click Ads; Getting Started; Creating Your Ad Copy; Tracking Your Ad Performance; Chapter 12: Casting a Wide Net with Content Syndication; Accomplishing Your Goals with Content Syndication; Implementing Non-Paid Content Syndication; Chapter 13: Targeting with a Personal Touch Through Direct Mail; Making Direct Mail Work for You; Focusing on Creative Execution; Having an Integrated Approach.…”
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A guide to Monte Carlo simulations in statistical physics by Landau, David P.

Table of Contents: “…3.7 Finding the groundstate of a Hamiltonian -- 3.8 Generation of 'random' walks -- 3.8.1 Introduction -- 3.8.2 Random walks -- 3.8.3 Self-avoiding walks -- 3.8.4 Growing walks and other models -- 3.9 Final remarks -- References -- 4 Importance sampling Monte Carlo methods -- 4.1 Introduction -- 4.2 The simplest case: single spin-flip sampling for the simple Ising model -- 4.2.1 Algorithm -- 4.2.2 Boundary conditions -- 4.2.3 Finite size effects -- 4.2.4 Finite sampling time effects -- 4.2.5 Critical relaxation -- 4.3 Other discrete variable models.…”
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Advanced numerical and semi analytical methods for differential equations by Chakraverty, Snehashish

Table of Contents: “…8.2.2.1 Heaviside Function8.2.2.2 Dirac Delta Function; 8.2.2.3 Finding the Fundamental Solution; 8.2.3 Green's Function; 8.2.3.1 Green's Integral Formula; 8.3 Derivation of the Boundary Element Method; 8.3.1 BEM Algorithm; References; Chapter 9 Akbari-Ganji's Method; 9.1 Introduction; 9.2 Nonlinear Ordinary Differential Equations; 9.2.1 Preliminaries; 9.2.2 AGM Approach; 9.3 Numerical Examples; 9.3.1 Unforced Nonlinear Differential Equations; 9.3.2 Forced Nonlinear Differential Equation; References; Chapter 10 Exp-Function Method; 10.1 Introduction; 10.2 Basics of Exp-Function Method…”
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Trading on sentiment : the power of minds over markets by Peterson, Richard L., 1972-

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Machine learning in non-stationary environments : introduction to covariate shift adaptation by Sugiyama, Masashi, 1974-

Table of Contents: “…5.2 Characterization of Hetero-Distributional Subspace5.3 Identifying Hetero-Distributional Subspace by Supervised Dimensionality Reduction; 5.4 Using LFDA for Finding Hetero-Distributional Subspace; 5.5 Density-Ratio Estimation in the Hetero-Distributional Subspace; 5.6 Numerical Examples; 5.7 Summary; 6 Relation to Sample Selection Bias; 6.1 Heckman's Sample Selection Model; 6.2 Distributional Change and Sample Selection Bias; 6.3 The Two-Step Algorithm; 6.4 Relation to Covariate Shift Approach; 7 Applications of Covariate Shift Adaptation; 7.1 Brain-Computer Interface.…”
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Disorders of the Patellofemoral Joint. by Fulkerson, John P.

Table of Contents: “…SOFT-TISSUE DYSPLASIANonarthritic Anterior Knee Pain; CLINICAL FEATURES; Symptoms; Physical Findings; RETINACULAR PAIN; PLICA OR SYNOVITIS; PATELLAR TENDINITIS (JUMPER'S KNEE); Prepatellar Bursitis; Retropatellar Tendon Bursitis; Pes Anserinus Bursitis; Fat Pad Syndrome; MENISCAL LESIONS; CRUCIATE LIGAMENT DEFICIENCY AND RECONSTRUCTION; HEMANGIOMA; RUNNERS' KNEE; ILIOTIBIAL FRICTION BAND SYNDROME; REFERRED PAIN; REHABILITATION OF SOFT-TISSUE PROBLEMS; Patellar Tilt Compression and the Excessive Lateral Pressure Syndrome; CLINICAL FEATURES; Signs and Symptoms.…”
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Node.js web development by Herron, David

Table of Contents: “…Node.js's algorithm for require (module)Module identifiers and path names; An example application directory structure; npm -- the Node.js package management system; The npm package format; Finding npm packages; Other npm commands; Installing an npm package; Initializing a new npm package; Maintaining package dependencies with npm; Fixing bugs by updating package dependencies; Declaring Node.js version compatibility; Updating outdated packages you've installed; Installing packages from outside the npm repository; Publishing an npm package; Package version numbers; A quick note about CommonJS.…”
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Tales of Literacy for the 21st Century : the Literary Agenda. by Wolf, Maryanne

Table of Contents: “…; Deep reading and what comes next; A first algorithm for what comes next; Notes; 7: A Tale of Hope for Non-Literate Children.…”
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Introduction to Machine Learning with Python. by Chopra, Deepti

Table of Contents: “…Machine Learning Involves A Complex Process -- Insufficient training data -- Feasibility of Learning An Unknown Target Function -- Collection of Data -- Pre-processing of Data -- Finding The Model That Will Be Best For The Data -- Training and Testing Of The Developed Model Evaluation -- In Sample Error and Out of Sample Error -- APPLICATIONS OF MACHINE LEARNING -- Virtual Personal Assistants -- Traffic Prediction -- Online Transportation Networks -- Video Surveillance System -- Social Media Services -- People you May Know -- Face Recognition -- Similar Pins -- Sentiment Analysis…”
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The bitcoin big bang : how alternative currencies are about to change the world by Kelly, Brian, 1971-

Table of Contents: “…; 8 Building the Nautiluscoin Economy; Dynamic Proof-of-Stake; Nautiluscoin Gross Domestic Product Target; Algorithmic Monetary Policy.…”
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Ruby Under a Microscope : Learning Ruby Internals Through Experiment. by Shaughnessy, Pat

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Adaptive tests of significance using permutations of residuals with R and SAS by O'Gorman, Thomas W.

Table of Contents: “…2.3.1 An Estimator of Variability Based on Traditional Percentiles2.3.2 R Code for Finding the Bandwidth; 2.3.3 An Estimator of Variability Based on Percentiles from the Smoothed Distribution Function; 2.4 Normalizing Transformations; 2.4.1 Traditional Normalizing Methods; 2.4.2 Normalizing Data by Weighting; 2.5 The Weighting Algorithm; 2.5.1 An Example of the Weighing Procedure; 2.5.2 R Code for Weighting the Observations; 2.6 Computing the Bandwidth; 2.6.1 Error Distributions; 2.6.2 Measuring Errors in Adaptive Weighting; 2.6.3 Simulation Studies; 2.7 Examples of Transformed Data.…”
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Pediatric incontinence : evaluation and clinical management

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Numerical Methods : Using MATLAB. by Lindfield, G. R. (George R.)

Table of Contents: “…6.1 Classification of Second-Order Partial Differential Equations -- 6.2 The Shooting Method -- 6.3 The Finite Difference Method -- 6.4 Two-Point Boundary Value Problems -- 6.5 Parabolic Partial Differential Equations -- 6.6 Hyperbolic Partial Differential Equations -- 6.7 Elliptic Partial Differential Equations -- 6.8 Summary -- Problems -- 7 Fitting Functions to Data -- 7.1 Introduction -- 7.2 Interpolation Using Polynomials -- 7.3 Interpolation Using Splines -- 7.4 Fourier Analysis of Discrete Data -- 7.5 Multiple Regression: Least Squares Criterion -- 7.6 Diagnostics for Model Improvement -- 7.7 Analysis of Residuals -- 7.8 Polynomial Regression -- 7.9 Fitting General Functions to Data -- 7.10 Nonlinear Least Squares Regression -- 7.11 Transforming Data -- 7.12 Summary -- Problems -- 8 Optimization Methods -- 8.1 Introduction -- 8.2 Linear Programming Problems -- 8.3 Optimizing Single-Variable Functions -- 8.4 The Conjugate Gradient Method -- 8.5 Moller's Scaled Conjugate Gradient Method -- 8.6 Conjugate Gradient Method for Solving Linear Systems -- 8.7 Genetic Algorithms -- 8.8 Continuous Genetic Algorithm -- 8.9 Simulated Annealing -- 8.10 Constrained Nonlinear Optimization -- 8.11 The Sequential Unconstrained Minimization Technique -- 8.12 Summary -- Problems -- 9 Applications of the Symbolic Toolbox -- 9.1 Introduction to the Symbolic Toolbox -- 9.2 Symbolic Variables and Expressions -- 9.3 Variable-Precision Arithmetic in Symbolic Calculations -- 9.4 Series Expansion and Summation -- 9.5 Manipulation of Symbolic Matrices -- 9.6 Symbolic Methods for the Solution of Equations -- 9.7 Special Functions -- 9.8 Symbolic Differentiation -- 9.9 Symbolic Partial Differentiation -- 9.10 Symbolic Integration -- 9.11 Symbolic Solution of Ordinary Differential Equations -- 9.12 The Laplace Transform -- 9.13 The Z-Transform.…”
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Knowledge mining using intelligent agents

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