Pro WF : Windows Workflow in .NET 3.0
Pro WF: Windows Workflow in .NET 3.0 provides you with the skills you need to incorporate WF into your applications. This ...
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Pro WF : Windows Workflow in .NET 3.5
Windows Workflow Foundation is a groundbreaking addition to the core of the .NET Framework that allows you to orchestrate ...
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Pro WPF : Windows Presentation Foundation in .NET 3.0
Pro WPF: Windows Presentation Foundation in .NET 3.0 covers WPF from installation to application design and implementation ...
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Pro WPF in C# 2008 : Windows Presentation Foundation with .NET 3.5
The Microsoft Windows Presentation Foundation provides the foundation for building applications and high–quality user experiences ...
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Pro WPF with VB 2008 : Windows Presentation Foundation with .NET 3.5
Microsoft Windows Presentation Foundation provides the foundation for building applications and high–quality user experiences ...
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Pro Web 2.0 Application Development with GWT
The main focus of Pro Web 2.0 Application Development with GWT is an analysis of a full-fledged Web 2.0 application called ...
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Pro Web 2.0 Mashups : Remixing Data and Web Services
This book teaches you how to forge those latent connections—to make the Web your own—by remixing information to create ...
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Pro Windows PowerShell
Pro Windows PowerShell will show you how to use all this power in your own work. You'll discover the object–oriented features ...
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Pro Windows Small Business Server 2003
Inside this book, you'll find everything you need to know about managing SBS 2003 on a daily basis. Author Tony Campbell ...
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Pro iPhone Development with SwiftUI Design and Manage Top Quality Apps / Wallace Wang
This isn't your first time building a workable app for iOS platforms. Now, it's time to build a magical app for iOS platforms! ...
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Probabilistic Conditional Independence Structures
Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence ...
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Probabilistic Inductive Logic Programming : Theory and Applications
One of the key open questions within arti?cial intelligence is how to combine probability and logic with learning. This question ...
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Probabilistic Machine Learning for Civil Engineers / James-A. Goulet
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; ...
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Probabilistic Methods in Geotechnical Engineering
Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
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Probabilistic Modeling in Bioinformatics and Medical Informatics
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, ...
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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart ...
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Probabilistic Symmetries and Invariance Principles
This is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, ...
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Probabilistic and Randomized Methods for Design under Uncertainty
Probabilistic and Randomized Methods for Design under Uncertainty examines uncertain systems in control engineering and general ...
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Probability Distributions Involving Gaussian Random Variables
This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. ...
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Probability Models for DNA Sequence Evolution
This is the second edition and is twice the size of the first one. The material on recombination and the stepping stone model ...
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