261 search results - page 15 / 53 » Attribute Selection Based on FRiS-Compactness |
MLDM
2005
Springer
15 years 3 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
EDBT
2006
ACM
15 years 9 months ago
2006
ACM
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...
IPPS
2006
IEEE
15 years 3 months ago
2006
IEEE
Narrow values that can be represented by less number of bits than the full machine width occur very frequently in programs. On the other hand, clustering mechanisms enable cost- a...
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ECAI
2008
Springer
14 years 11 months ago
2008
Springer
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
IDEAS
2006
IEEE
15 years 3 months ago
2006
IEEE
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...