Microsoft Access 2010 Cost Benefit Analysis for Developers
[ Source: Alpha Software ]
June 2010-
Although Microsoft Access can be used to create desktop applications, its Web development features are lacking. If an organization wants to port an existing Access application to the Web, typically its done in one of two ways:
* The organization can create a brand new Web-based application in Visual Studio. The server-side code would then use the .NET framework to read and write to and from the Access database. Note, however, that the Access ...
The Total Economic Impact of IBM Optim Solutions Whitepaper
[ Source: IBM ]
January 2011-
In this report, Forrester Consulting examines the total economic impact (TEI) and potential return-on-investment (ROI) that enterprises may realize by deploying IBM® Optim™ Solutions for Integrated Data Management. In conducting in-depth interviews with four existing customers, Forrester consultants found that these companies achieved tangible improvements in operational and capital cost efficiency, IT administration cost savings, increased data protection, as well as higher levels of end user productivity.
Conefessions of a Speed Junkie
[ Source: XCodeMonkeys ]
July 2009-
This is our attempt to shed some light on what we believe is a rapidly approaching paradigm shift in parallel computing; General Purpose Graphics Processing Unit computing (GPGPU). Recent advances from GPU vendors have paved the way for significant performance gains in the area of financial modeling. Our site will quickly get the reader up to speed with these advances by explaining the basic concepts, providing code examples, and providing links to additional information.
AdaRank: A Boosting Algorithm for Information Retrieval
[ Source: Association for Computing Machinery ]
January 2008-
This white paper of Association for Computing Machinery explains a novel algorithm for learning ranking models in document retrieval, referred to as AdaRank. In contrast to existing methods, AdaRank optimizes a loss function that is directly defined on the performance measures. It employs a boosting technique in ranking model learning. AdaRank offers several advantages: ease of implementation, theoretical soundness, efficiency in training, and high accuracy in ranking.