165 search results - page 7 / 33 » Measuring the Diversity of a Test Set With Distance Entropy |
EMMCVPR
1997
Springer
15 years 1 months ago
1997
Springer
Consistent labelling problems frequently have more than one solution. Most work in the "eld has aimed at disambiguating early in the interpretation process, using only local ...
BMCBI
2008
14 years 9 months ago
2008
Background: The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite divers...
ISDA
2009
IEEE
15 years 4 months ago
2009
IEEE
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
AE
2003
Springer
15 years 2 months ago
2003
Springer
In this work we study how using multiple communicating populations instead of a single panmictic one may help in maintaining diversity during GP runs. After defining suitable geno...
ISAAC
2009
Springer
15 years 4 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...