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BMCBI
2008
160views more  BMCBI 2008»
14 years 10 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
15 years 10 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
PRL
2010
149views more  PRL 2010»
14 years 4 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
SSDBM
2006
IEEE
139views Database» more  SSDBM 2006»
15 years 3 months ago
Sampling Trajectory Streams with Spatiotemporal Criteria
Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information ab...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
ICIP
1998
IEEE
15 years 11 months ago
Analysis of the Interpolation Error between Multiresolution Images
Many rendering or image-analysis systems require calculation of versions of an image at lesser resolutions than the original. Because the filtering required to perform such calcul...
Bryan S. Morse