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Titlebook: Windows 8 MVVM Patterns Revealed; covers both C# and J Ashish Ghoda Book 2012 Ashish Ghoda 2012

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發(fā)表于 2025-3-21 18:31:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Windows 8 MVVM Patterns Revealed
副標(biāo)題covers both C# and J
編輯Ashish Ghoda
視頻videohttp://file.papertrans.cn/1029/1028775/1028775.mp4
概述This concise explanation will show you how to apply the MVVM pattern to your Metro-style Windows 8 applications using both XAML and Java.
圖書封面Titlebook: Windows 8 MVVM Patterns Revealed; covers both C# and J Ashish Ghoda Book 2012 Ashish Ghoda 2012
描述.The Model-View-View-Model (MVVM) pattern is held in high regard by many developers as an excellent way of creating sophisticated modern applications. It‘s clear seperation of presentation and business logic produces a clean implementation that promotes speed, scalability and code reuse in applications with a complex UI. These strengths have found it favor with WPF and Silverlight developers. It is now increasingly being employed for Windows 8 apps, a purpose to which it is ideally suited as this book will show..In this brief, information-rich, guide we will show you how MVVM works with both XAML (C#) and HTML5 (JavaScript) flavors of Windows 8. Beginning with a brief recap of MVVM concepts under .NET - to provide a common frame of reference - we will then delve into the details of how MVVM can best be implemented in Metro-style apps for Windows 8 and show a working application framework in each case. .
出版日期Book 2012
版次1
doihttps://doi.org/10.1007/978-1-4302-4909-2
isbn_softcover978-1-4302-4908-5
isbn_ebook978-1-4302-4909-2
copyrightAshish Ghoda 2012
The information of publication is updating

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Ashish Ghodafeatures describing a relation are, such approaches may or may not be useful in open information extraction, where, due to the large amount of data to be processed, fast—and therefore shallow—methods are used. The techniques presented in this chapter are more appropriate for the semantic analysis of
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Ashish Ghodared the impact of syntactic parsing on semantic role labeling, describing efforts to integrate syntactic parsing with semantic role labeling, and the use of different syntactic representations individually or collectively to improve semantic role labeling accuracy. Another line of research that was
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Ashish Ghodaically similar than the words toffee (confection) and coffee, despite that the last pair has a higher syntactic similarity. The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpo
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Ashish Ghodatoo much data and not enough information, knowledge, and insight. With a view to addressing this problem, the Semantic Sensor Web (SSW) [Sheth et al., 2008b] proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information esse
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Ashish Ghodaredictive model is “trained” by generalizing from examples of data that are provided along with their true label. In the context of relation classification, this requires the provision of text that has been annotated with the relations it expresses. Supervised learning can perform very well, but the
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