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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...
Linear and Nonlinear Multivariable Feedback Control: A Classical Approach
Linear and Nonlinear Multivariable Feedback Control: A Classical Approach

Automatic feedback control systems play crucial roles in many fields, including manufacturing industries, communications, naval and space systems. At its simplest, a control system represents a feedback loop in which the difference between the ideal (input) and actual (output) signals is used to modify the behaviour of the system. Control...

Bioinformatics For Dummies (Math & Science)
Bioinformatics For Dummies (Math & Science)
Search databases and analyze sequences like a pro

Get the most out of your PC and the Web with the right tools

Explore the human genome and analyze DNA — without leaving your desktop! All it takes is the basics of molecular biology and the wealth of information in this friendly guide. You'll discover the...

Sensor Technology Handbook
Sensor Technology Handbook
The first decade of the 21st century has been labeled by some as the “Sensor Decade.”
With a dramatic increase in sensor R&D and applications over the past 15 years, sensors
are certainly poised on the brink of a revolution similar to that experienced in
microcomputers in the 1980s. Just in automobiles alone, sensing
...
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Game Theory: An Introduction
Game Theory: An Introduction

An exciting new edition of the popular introduction to game theory and its applications

The thoroughly expanded Second Edition presents a unique, hands-on approach to game theory. While most books on the subject are too abstract or too basic for mathematicians, Game Theory: An Introduction, Second...

Applied Computing in Medicine and Health (Emerging Topics in Computer Science and Applied Computing)
Applied Computing in Medicine and Health (Emerging Topics in Computer Science and Applied Computing)

Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health.

Applied computing is the use of...

First Steps in Random Walks: From Tools to Applications
First Steps in Random Walks: From Tools to Applications

The name "random walk" for a problem of a displacement of a point in a sequence of independent random steps was coined by Karl Pearson in 1905 in a question posed to readers of "Nature". The same year, a similar problem was formulated by Albert Einstein in one of his Annus Mirabilis works. Even earlier such a problem was...

PACS and Imaging Informatics: Basic Principles and Applications
PACS and Imaging Informatics: Basic Principles and Applications

The definitive guide to PACS—now with more clinically applicable material

In recent years, the field of picture archiving and communications systems—PACS—andimage informatics has advanced due to both conceptual and technological advancements. This edition of PACS and Imaging Informatics: Basic Principles...

Bioactives in Fruit: Health Benefits and Functional Foods
Bioactives in Fruit: Health Benefits and Functional Foods

For centuries we have known that fruit is important for health, but we are only just beginning to fully understand why.  Bioactives in Fruit: Health Benefits and Functional Foods aims to summarise some of our current knowledge on the bioactive compounds that are associated with the health benefits of...

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and...

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