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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
WWW
2004
ACM
14 years 8 months ago
Edgecomputing: extending enterprise applications to the edge of the internet
Content delivery networks have evolved beyond traditional distributed caching. With services such as Akamai's EdgeComputing it is now possible to deploy and run enterprise bu...
Andy Davis, Jay Parikh, William E. Weihl
GIS
2007
ACM
14 years 9 months ago
High-level web service for 3D building information visualization and analysis
This paper presents an approach to visualize and analyze 3D building information models within virtual 3D city models. Building information models (BIMs) formalize and represent d...
Benjamin Hagedorn, Jürgen Döllner
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 11 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 8 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...