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ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
14 years 5 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
IWPC
2006
IEEE
14 years 4 months ago
Dynamic Data Structure Analysis for Java Programs
Analysis of dynamic data structure usage is useful for both program understanding and for improving the accuracy of other program analyses. Static analysis techniques, however, su...
Sokhom Pheng, Clark Verbrugge
SADM
2011
13 years 5 months ago
Random survival forests for high-dimensional data
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J...
JSW
2008
122views more  JSW 2008»
13 years 10 months ago
Modeling and Analysis the Web Structure Using Stochastic Timed Petri Nets
Precise analysis of the Web structure can facilitate data pre-processing and enhance the accuracy of the mining results in the procedure of Web usage mining. STPN Stochastic Timed...
Pozung Chen, Chu-Hao Sun, Shih-Yang Yang
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
14 years 26 days ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...