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ECML
2007
Springer
14 years 4 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ECOOP
2007
Springer
14 years 4 months ago
A Staged Static Program Analysis to Improve the Performance of Runtime Monitoring
In runtime monitoring, a programmer specifies a piece of code to execute when a trace of events occurs during program execution. Our work is based on tracematches, an extension to...
Eric Bodden, Laurie J. Hendren, Ondrej Lhotá...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 4 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 4 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
ICANN
2007
Springer
14 years 4 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio