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Introduction to Stochastic Integration (Modern Birkhäuser Classics)
Introduction to Stochastic Integration (Modern Birkhäuser Classics)

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable for the text of a graduate course in stochastic calculus, following a course in probability.

Using the modern approach, the...

Web Application Development with R Using Shiny
Web Application Development with R Using Shiny

Harness the graphical and statistical power of R and rapidly develop interactive user interfaces using the superb Shiny package

Overview

  • Helps you to use Shiny's built in functions to produce engaging and useful user interfaces in hours, not days
  • Enables you to extend Shiny using...
Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing
Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing
The term problem solving is used in many disciplines, sometimes with different perspectives. As one of the important topics in artificial intelligence (AI) research, it is a computerized process of human problem-solving behaviors. So the aim of problem solving is to develop techniques that program computers to find solutions...
Medical Image Analysis
Medical Image Analysis

The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter.

A new chapter on Optical Imaging Modalities elaborating microscopy, confocal...

Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Machine Learning: The Art and Science of Algorithms that Make Sense of Data

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action,...

Signal Processing in Radar Systems
Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital signal processing subsystems. It also tackles...

Data Points: Visualization That Means Something
Data Points: Visualization That Means Something

A fresh look at visualization from the author of Visualize This

Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means...

The Art & Science of Technical Analysis: Market Structure, Price Action & Trading Strategies (Wiley Trading)
The Art & Science of Technical Analysis: Market Structure, Price Action & Trading Strategies (Wiley Trading)

A breakthrough trading book that provides powerful insights on profitable technical patterns and strategies

The Art and Science of Technical Analysis is a groundbreaking work that bridges the gaps between the academic view of markets, technical analysis, and profitable trading. The book explores why randomness...

Internet Success: A Study of Open-Source Software Commons
Internet Success: A Study of Open-Source Software Commons

The use of open-source software (OSS)--readable software source code that can be copied, modified, and distributed freely--has expanded dramatically in recent years. The number of OSS projects hosted on SourceForge.net (the largest hosting Web site for OSS), for example, grew from just over 100,000 in 2006 to more than 250,000 at the...

Quantitative Corpus Linguistics with R: A Practical Introduction
Quantitative Corpus Linguistics with R: A Practical Introduction

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to...

Text Mining with MATLAB®
Text Mining with MATLAB®

Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications.

The first part provides an introduction...

Microsoft Excel 2013 Inside Out
Microsoft Excel 2013 Inside Out

You’re beyond the basics—so dive in and really put your spreadsheet skills to work! This supremely organized reference is packed with hundreds of timesaving solutions, troubleshooting tips, and workarounds. It’s all muscle and no fluff. Learn how the experts tackle Excel 2013—and challenge yourself to new...

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