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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 6 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
IMC
2009
ACM
16 years 1 months ago
Triangle inequality variations in the internet
Triangle inequality violations (TIVs) are important for latency sensitive distributed applications. On one hand, they can expose opportunities to improve network routing by findi...
Cristian Lumezanu, Randolph Baden, Neil Spring, Bo...
CASES
2006
ACM
16 years 13 days ago
Automated compile-time and run-time techniques to increase usable memory in MMU-less embedded systems
Random access memory (RAM) is tightly-constrained in many embedded systems. This is especially true for the least expensive, lowest-power embedded systems, such as sensor network ...
Lan S. Bai, Lei Yang, Robert P. Dick
CSCW
2004
ACM
15 years 12 months ago
High-performance telepointers
Although telepointers are valuable for supporting real-time collaboration, they are rarely seen in commercial groupware applications that run on the Internet. One reason for their...
Jeff Dyck, Carl Gutwin, Sriram Subramanian, Chris ...
MIDDLEWARE
2004
Springer
15 years 11 months ago
A context-aware middleware for applications in mobile Ad Hoc environments
Novel ubiquitous computing applications such as intelligent vehicles, smart buildings, and traffic management require special properties that traditional computing applications d...
Carl-Fredrik Sørensen, Maomao Wu, Thirunavu...