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» A general algorithm for data dependence analysis
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PR
2008
129views more  PR 2008»
14 years 10 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
IEEEPACT
1998
IEEE
15 years 2 months ago
Data Dependence Analysis of Assembly Code
Determination of data dependences is a task typically performed with high-level language source code in today's optimizing and parallelizing compilers. Very little work has b...
Wolfram Amme, Peter Braun, Eberhard Zehendner, Fra...
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 2 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
ESANN
2008
14 years 11 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
ISSTA
2010
ACM
15 years 1 months ago
Strict control dependence and its effect on dynamic information flow analyses
Program control dependence has substantial impact on applications such as dynamic information flow tracking and data lineage tracing (a technique tracking the set of inputs that ...
Tao Bao, Yunhui Zheng, Zhiqiang Lin, Xiangyu Zhang...