Herbert K.H. Lee's Books

Multiscale Modeling

A Bayesian Perspective

By: Marco A.R. Ferreira,Herbert K.H. Lee

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Multiscale Modeling

A Bayesian Perspective

By: Marco A.R. Ferreira,Herbert K.H. Lee

This highly useful book contains methodology for the analysis of data that arise from multiscale processes. It brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the delicate issue of uncertainty at multiple scales. These methods can handle different amounts of prior knowledge at different scales, as often occurs in practice.

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Page Count

243

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387708987

ISBN 13

9780387708980

Bayesian Nonparametrics via Neural Networks

By: Herbert K. H. Lee

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Bayesian Nonparametrics via Neural Networks

By: Herbert K. H. Lee

Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. Its goal is to demystify neural networks, putting them firmly in a statistical context rather than treating them as a black box. This approach is in contrast to existing books, which tend to treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model. The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and methods to deal with this issue, exploring a number of ideas from statistics and machine learning. A detailed discussion on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, Bayesian Nonparametrics via Neural Networks will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.

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Page Count

106

Publisher

SIAM

Published Date

ISBN 10

0898718422

ISBN 13

9780898718423

Bayesian Optimization with Application to Computer Experiments

By: Tony Pourmohamad,Herbert K. H. Lee

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Bayesian Optimization with Application to Computer Experiments

By: Tony Pourmohamad,Herbert K. H. Lee

This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods. Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries. Chapter 2 focuses on the task of surrogate model building and contains a mix of several different surrogate models that are used in the computer modeling and machine learning communities. Chapter 3 introduces the core concepts of Bayesian optimization and discusses unconstrained optimization. Chapter 4 moves on to constrained optimization, and showcases some of the most novel methods found in the field. This will be a useful companion to researchers and practitioners working with computer experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicability of Bayesian optimization outside the realm of machine learning.

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Page Count

113

Publisher

Springer Nature

Published Date

ISBN 10

3030824586

ISBN 13

9783030824587

Bioinformatics Database Systems

By: Kevin Byron,Katherine G. Herbert,Jason T. L. Wang

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Bioinformatics Database Systems

By: Kevin Byron,Katherine G. Herbert,Jason T. L. Wang

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This book provides an exploration through the world of Bioinformatics Database Systems. The book summarizes the popular and innovative bioinformatics repositories currently available, including popular primary genetic and protein sequence databases, phylogenetic databases, structure and pathway databases, microarray databases and boutique databases. It also explores the data quality and information integration issues currently involved with managing bioinformatics databases, including data quality issues that have been observed, and efforts in the data cleaning field. Biological data integration issues are also covered in-depth, and the book demonstrates how data integration can create new repositories to address the needs of the biological communities. It also presents typical data integration architectures employed in current bioinformatics databases. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General data mining approaches are discussed, as well as specific data mining methodologies that have been successfully deployed in biological data mining applications. Two biological data mining case studies are also included to illustrate how data, query, and analysis methods are integrated into user-friendly systems. Aimed at researchers and developers of bioinformatics database systems, the book is also useful as a supplementary textbook for a one-semester upper-level undergraduate course, or an introductory graduate bioinformatics course. About the Authors Kevin Byron is a PhD candidate in the Department of Computer Science at the New Jersey Institute of Technology. Katherine G. Herbert is Associate Professor of Computer Science at Montclair State University. Jason T.L. Wang is Professor of Bioinformatics and Computer Science at the New Jersey Institute of Technology.

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Page Count

169

Publisher

CRC Press

Published Date

ISBN 10

1315388081

ISBN 13

9781315388083

Counseling Today's Families

By: Herbert Goldenberg,Irene Goldenberg

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Counseling Today's Families

By: Herbert Goldenberg,Irene Goldenberg

In this thorough revision of their practical, carefully researched book, the Goldenbergs focus on "doing" family therapy with different types of families, including single-parent-led families, blended families, cohabiting heterosexual couples, gay and lesbian couples, dual-career families, and ethnically diverse minority families. The authors examine current family structures and living arrangements, detail common problem areas from a family systems perspective, and offer intervention guidelines for working effectively with each family type.

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Page Count

375

Publisher

Wadsworth Publishing Company

Published Date

ISBN 10

0534346553

ISBN 13

9780534346553

Book's by Herbert K.H. Lee

Multiscale Modeling

Multiscale Modeling

Bayesian Nonparametrics via Neural Networks

Bayesian Nonparametrics via Neural Networks

Bayesian Optimization with Application to Computer Experiments

Bayesian Optimization with Application to Computer Experiments

Bioinformatics Database Systems

Bioinformatics Database Systems

Counseling Today's Families

Counseling Today's Families

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