1789 search results - page 105 / 358 » Genetic Algorithms for Component Analysis |
125
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
123
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
141
Voted
ISBI
2011
IEEE
14 years 7 months ago
2011
IEEE
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
128
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GECCO
2004
Springer
15 years 8 months ago
2004
Springer
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
140
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NIPS
1997
15 years 4 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...