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128
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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 3 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
141
Voted
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 3 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
93
Voted
CHI
2005
ACM
16 years 3 months ago
Tuning and testing scrolling interfaces that automatically zoom
Speed dependent automatic zooming (SDAZ) is a promising refinement to scrolling in which documents are automatically zoomed-out as the scroll rate increases. By automatically zoom...
Andy Cockburn, Joshua Savage, Andrew Wallace
166
Voted
VLSID
2001
IEEE
200views VLSI» more  VLSID 2001»
16 years 3 months ago
Evaluation of the Traffic-Performance Characteristics of System-on-Chip Communication Architectures
The emergence of several communication architectures for System-on-Chips provides designers with a variety of design alternatives. In addition, the need to customize the system ar...
Kanishka Lahiri, Sujit Dey, Anand Raghunathan
207
Voted
POPL
2007
ACM
16 years 2 months ago
Preferential path profiling: compactly numbering interesting paths
Path profiles provide a more accurate characterization of a program's dynamic behavior than basic block or edge profiles, but are relatively more expensive to collect. This h...
Kapil Vaswani, Aditya V. Nori, Trishul M. Chilimbi
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