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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 2 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
STEP
2005
IEEE
14 years 29 days ago
TETE: A Non-Invasive Unit Testing Framework for Source Transformation
While the use of test-driven development as a debugging, pedagogic, and analytical methodology for objectoriented and procedural systems is well documented, it is a relatively une...
Derek M. Shimozawa, James R. Cordy
PDPTA
2008
13 years 8 months ago
Utilizing RSS Feeds by Web Request and Web Service Models in the .NET Compact Framework
- The rising popularity of Mobile Computing creates new methods for accessing Web content. At the same time Really Simple Syndication (RSS) feed is another new trend of constantly ...
Andrew Dutt, Sarah White, Zornitza Genova Prodanof...
DGO
2003
106views Education» more  DGO 2003»
13 years 8 months ago
A Framework for Regulation Comparison with Application to Accessibility Codes
An objective of this research is to develop a framework for regulation management as well as for comparing regulations from multiple sources. An online repository for regulatory d...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold
AMT
2010
Springer
285views Multimedia» more  AMT 2010»
13 years 8 months ago
Contextual Recommendation of Social Updates, a Tag-Based Framework
Abstract. In this paper, we propose a framework to improve the relevance of awareness information about people and subjects, by adapting recommendation techniques to real-time web ...
Adrien Joly, Pierre Maret, Johann Daigremont