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» Run-Time Support for Optimizations Based on Escape Analysis
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BMCBI
2008
122views more  BMCBI 2008»
14 years 9 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
ICASSP
2011
IEEE
14 years 1 months ago
Real-time design of a space/spatial-frequency optimal filter for highly nonstationary two-dimensional signal estimation
Two-dimensional (2D) optimal filter for highly nonstationary 2D signal estimation is developed. It is based on the real-time results of space/spatial-frequency (S/SF) analysis, on...
Veselin N. Ivanovic, Nevena Radovic, Srdjan Jovano...
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IPPS
1998
IEEE
15 years 1 months ago
A Generalized Framework for Global Communication Optimization
In distributed-memory message-passing architectures reducing communication cost is extremely important. In this paper, we present a technique to optimize communication globally. O...
Mahmut T. Kandemir, Prithviraj Banerjee, Alok N. C...
ICIC
2009
Springer
15 years 4 months ago
Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
Jin Zhou, Yuqi Pan, Yuehui Chen, Yang Liu
ROCAI
2004
Springer
15 years 3 months ago
Optimizing Area Under Roc Curve with SVMs
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
Alain Rakotomamonjy