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Model-Based Reasoning

Model-Based Reasoning PDF Author: Lorenzo Magnani
Publisher: Springer Science & Business Media
ISBN: 9780306472442
Category : Computers
Languages : en
Pages : 432

Book Description
There are several key ingredients common to the various forms of model-based reasoning considered in this book. The term ‘model’ comprises both internal and external representations. The models are intended as interpretations of target physical systems, processes, phenomena, or situations and are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain. The book’s contributors are researchers active in the area of creative reasoning in science and technology.

Model-Based Reasoning

Model-Based Reasoning PDF Author: Lorenzo Magnani
Publisher: Springer Science & Business Media
ISBN: 9780306472442
Category : Computers
Languages : en
Pages : 432

Book Description
There are several key ingredients common to the various forms of model-based reasoning considered in this book. The term ‘model’ comprises both internal and external representations. The models are intended as interpretations of target physical systems, processes, phenomena, or situations and are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain. The book’s contributors are researchers active in the area of creative reasoning in science and technology.

An Introduction to Statistical Modeling of Extreme Values

An Introduction to Statistical Modeling of Extreme Values PDF Author: Stuart Coles
Publisher: Springer Science & Business Media
ISBN: 1447136756
Category : Mathematics
Languages : en
Pages : 219

Book Description
Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with heuristics often replacing detailed mathematical proof. Most aspects of extreme modeling techniques are covered, including historical techniques (still widely used) and contemporary techniques based on point process models. A wide range of worked examples, using genuine datasets, illustrate the various modeling procedures and a concluding chapter provides a brief introduction to a number of more advanced topics, including Bayesian inference and spatial extremes. All the computations are carried out using S-PLUS, and the corresponding datasets and functions are available via the Internet for readers to recreate examples for themselves. An essential reference for students and researchers in statistics and disciplines such as engineering, finance and environmental science, this book will also appeal to practitioners looking for practical help in solving real problems. Stuart Coles is Reader in Statistics at the University of Bristol, UK, having previously lectured at the universities of Nottingham and Lancaster. In 1992 he was the first recipient of the Royal Statistical Society's research prize. He has published widely in the statistical literature, principally in the area of extreme value modeling.

R for Data Science

R for Data Science PDF Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521

Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Interpretable Machine Learning

Interpretable Machine Learning PDF Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320

Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Linear Models for the Prediction of Animal Breeding Values

Linear Models for the Prediction of Animal Breeding Values PDF Author: R. A. Mrode
Publisher: Cab International
ISBN: 9781845939816
Category : Technology & Engineering
Languages : en
Pages : 343

Book Description
The prediction of producing desirable traits in offspring such as increased growth rate or superior meat, milk and wool production is a vital economic tool to the animal scientist. Summarizing the latest developments in genomics relating to animal breeding values and design of breeding programs, this new edition includes models of survival analysis, social interaction and sire and dam models, as well as advancements in the use of SNPs in the computation of genomic breeding values.

Objects, Components, Models and Patterns

Objects, Components, Models and Patterns PDF Author: Manuel Oriol
Publisher: Springer Science & Business Media
ISBN: 3642025714
Category : Computers
Languages : en
Pages : 379

Book Description
This book constitutes the thoroughly refereed proceedings of the 47th International Conference on Objects, Components, Models and Patterns, TOOLS EUROPE 2009, held in Zurich, Switzerland, in June/July 2009. TOOLS has played a major role in the spread of object-oriented and component technologies. It has now broadened its scope beyond the original topics of object technology and component-based development to encompass all modern, practical approaches to software development. At the same time, TOOLS has kept its traditional spirit of technical excellence, its acclaimed focus on practicality, its well-proven combination of theory and applications, and its reliance on the best experts from academia and industry. The 17 regular papers and two short papers presented in this book, together with two invited papers, were carefully reviewed and selected from 67 submissions. The topics covered in this volume are reflection and aspects, models, theory, components, monitoring, and systems generation.

System Analysis and Modeling: Models and Reusability

System Analysis and Modeling: Models and Reusability PDF Author: Daniel Amyot
Publisher: Springer
ISBN: 3319117432
Category : Computers
Languages : en
Pages : 329

Book Description
This book constitutes the refereed papers of the proceedings of the 8th International Conference on System Analysis and Modeling, SAM 2014, held in Valencia, Spain, in September 2014. The 18 full papers and the 3 short papers presented together with 2 keynotes were carefully reviewed and selected from 71 submissions. The contributions are organized in topical sections named: reuse; availability, safety and optimization; sequences and interactions; testing; metrics, constraints and repositories; and SDL and V&V.

Collector's Guide to Diecast Toys & Scale Models

Collector's Guide to Diecast Toys & Scale Models PDF Author: Dana Johnson
Publisher:
ISBN: 9781574320411
Category : Automobiles
Languages : en
Pages : 0

Book Description
This updated second edition now includes over 575 brands, as opposed to the only 170 brands presented in the first book. Once again this full-color guide will include popular contemporary brands such as Majorette, Tomica, Hot Wheels, Matchbox, Siku, Maisto, Bburago, Johnny Lightnings, and many others featured together in detail, showing the different models and thousands of variations. This extraordinary book is arranged alphabetically by brand name with hundreds of color photographs, manufacturers, model numbers, descriptions, scales, colors, distinguishing marks, and current market values. It provides a helpful bibliography and guide to resources for finding more diecast toys on the secondary market. 1998 values. 8.5 X 11.

Hydrology, Description of Computer Models, and Evaluation of Selected Water-management Alternatives in the San Bernardino Area, California

Hydrology, Description of Computer Models, and Evaluation of Selected Water-management Alternatives in the San Bernardino Area, California PDF Author: Wesley R. Danskin
Publisher:
ISBN:
Category : Groundwater flow
Languages : en
Pages : 196

Book Description
Plates 1 and 2 in PDF format included.

Statistical Models in S

Statistical Models in S PDF Author: T.J. Hastie
Publisher: Routledge
ISBN: 1351414224
Category : Mathematics
Languages : en
Pages : 542

Book Description
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.