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ICML
2004
IEEE
15 years 10 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
COMPSAC
2006
IEEE
15 years 4 months ago
Intelligent Classification and Retrieval of Software Components
This work proposes a new methodology for intelligent classification and retrieval of software components based on user–defined requirements. The classification scheme utilizes a...
Andreas S. Andreou, Dimitrios Vogiatzis, George A....
ICA
2007
Springer
15 years 1 months ago
Compact Representations of Market Securities Using Smooth Component Extraction
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...
FORTE
2004
14 years 11 months ago
Generation of Integration Tests for Self-Testing Components
Internet software tightly integrates classic computation with communication software. Heterogeneity and complexity can be tackled with a component-based approach, where components ...
Leonardo Mariani, Mauro Pezzè, David Willmo...
SOQUA
2004
14 years 11 months ago
Measuring Component Performance Using A Systematic Approach and Environment
: As more third-party software components are available in the commercial market, more people begin to use the component-based software engineering approach to developing component...
Jerry Gao, Chandra S. Ravi, Raquel Espinoza