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176
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 4 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
167
Voted
DCOSS
2011
Springer
14 years 6 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
IEEEPACT
2000
IEEE
15 years 10 months ago
The Effect of Code Reordering on Branch Prediction
Branch prediction accuracy is a very important factor for superscalarprocessor performance. The ability topredict the outcome of a branch allows the processor to effectively use a...
Alex Ramírez, Josep-Lluis Larriba-Pey, Mate...
176
Voted
BMCBI
2004
135views more  BMCBI 2004»
15 years 6 months ago
Information assessment on predicting protein-protein interactions
Background: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions ar...
Nan Lin, Baolin Wu, Ronald Jansen, Mark Gerstein, ...
169
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TIT
1998
96views more  TIT 1998»
15 years 5 months ago
Sequential Prediction of Individual Sequences Under General Loss Functions
Abstract— We consider adaptive sequential prediction of arbitrary binary sequences when the performance is evaluated using a general loss function. The goal is to predict on each...
David Haussler, Jyrki Kivinen, Manfred K. Warmuth