Learn IT - Books tags sampling

Getting Started With SAS Enterprise Miner 5.2

SAS Institute, 2006

SAS defines data mining as the process of uncovering hidden patterns in large amounts of data. Many industries use data mining to address business problems and opportunities such as fraud detection, risk and affinity analyses, database marketing, householding, customer churn, bankruptcy prediction, and...

Formation Testing: Pressure Transient and Contamination Analysis

John Wiley & Sons, 2014

Traditional well logging methods, such as resistivity, acoustic, nuclear and NMR, provide indirect information related to fluid and formation properties. The “formation tester,” offered in wireline and MWD/LWD operations, is different. It collects actual downhole fluid samples for surface analysis, and through...

Forest Analytics with R: An Introduction (Use R!)

Springer, 2010

R is an open-source and free software environment for statistical computing and graphics. R compiles and runs on a wide variety of UNIX platforms (e.g., GNU/Linux and FreeBSD), Windows, and Mac OSX. Since the late 1990s, R has been developed by hundreds of contributors and new capabilities are added each month....

Getting Started with SAS Enterprise Miner 5.3

SAS Institute, 2008

SAS Enterprise Miner 5.3 is the SAS data mining solution that addresses the entire data mining process using an intuitive Java point-and-click interface. This guide introduces you to the core functionality of SAS Enterprise Miner and shows you how to perform basic data mining tasks. You will learn how to use the graphical user interface (GUI) tools...

Bayesian Computation with R (Use R)

Springer, 2009

The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and...

Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms

Springer, 2009

Implicit objects have gained increasing importance in geometric modeling, visualisation, animation, and computer graphics, because their geometric properties provide a good alternative to traditional parametric objects. This book presents the mathematics, computational methods and data structures, as well as the algorithms needed to render...

Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)

Springer, 2006

Estimation of distribution algorithms (EDAs) address broad classes of optimization problems by learning explicit probabilistic models of promising solutions found so far and sampling the built models to generate new candidate solutions. By incorporating advanced machine learning techniques into genetic and evolutionary algorithms, EDAs can scalably...

Sound Synthesis and Sampling, Third Edition (Music Technology)

Focal Press, 2008

Sound Synthesis and Sampling' provides a comprehensive introduction to the underlying principles and practical techniques applied to both commercial and research sound synthesizers. This new edition has been updated throughout to reflect current needs and practices- revised and placed in a modern context, providing a guide to the theory of sound...

Primer of Biostatistics: Sixth Edition

McGraw-Hill, 2005

I have always thought of myself as something of an outsider and troublemaker, so it is with some humility that I prepare the sixth edition of this book, 24 years after the first edition appeared. Then, as now, the book had an unusual perspective: that many papers in the medical literature contained avoidable errors. At the time,...

Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms

Springer, 2006

Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the...

A History of Interest Rates, Fourth Edition (Wiley Finance)

John Wiley & Sons, 2005

A History of INTEREST RATES

The late Sidney Homer published the First Edition of A History of Interest Rates in 1963 because he believed that a comprehensive history of this universal and basic economic and commercial price was necessary. Now in its Fourth Edition, A History of Interest Rates has become a classic in the fields of...

Surrogate Model-Based Engineering Design and Optimization (Springer Tracts in Mechanical Engineering)

Springer, 2019

This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization.

Surrogate or metamodels are now...

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