Sciweavers

79 search results - page 6 / 16
» Data envelopment analysis with imprecise data
Sort
View
ISIPTA
2003
IEEE
104views Mathematics» more  ISIPTA 2003»
14 years 28 days ago
Nonparametric Predictive Comparison of Two Groups of Lifetime Data
We present the application of a recently introduced nonparametric predictive inferential method to compare two groups of data, consisting of observed event times and right-censori...
Frank P. A. Coolen, Ke-Jian Yan
CORR
2011
Springer
157views Education» more  CORR 2011»
12 years 11 months ago
Convex Hull of Imprecise Points in o(n \log{n}) Time after Preprocessing
Motivated by the desire to cope with data imprecision [8], we study methods for preprocessing a set of planar regions such that whenever we are given a set of points, each of whic...
Esther Ezra, Wolfgang Mulzer
CORR
2000
Springer
84views Education» more  CORR 2000»
13 years 7 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
BMCBI
2008
171views more  BMCBI 2008»
13 years 7 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
ESANN
2007
13 years 9 months ago
Interval discriminant analysis using support vector machines
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
Cecilio Angulo, Davide Anguita, Luis Gonzál...