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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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! ...
Lee mas
Probabilistic Conditional Independence Structures
Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence ...
Lee mas
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 ...
Lee mas
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; ...
Lee mas
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 ...
Lee mas
Probabilistic Modeling in Bioinformatics and Medical Informatics
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, ...
Lee mas
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 ...
Lee mas
Probabilistic Symmetries and Invariance Principles
This is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, ...
Lee mas
Probabilistic and Randomized Methods for Design under Uncertainty
Probabilistic and Randomized Methods for Design under Uncertainty examines uncertain systems in control engineering and general ...
Lee mas
Probability Distributions Involving Gaussian Random Variables
This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. ...
Lee mas
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 ...
Lee mas
