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» On Bootstrapping the ROC Curve
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BIB
2011
12 years 11 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
A random effect multiplicative heteroscedastic model for bacterial growth
Background: Predictive microbiology develops mathematical models that can predict the growth rate of a microorganism population under a set of environmental conditions. Many prima...
Ricardo Cao, Mario Francisco-Fernández, Emi...
AVBPA
2005
Springer
426views Biometrics» more  AVBPA 2005»
14 years 1 months ago
Calculation of a Composite DET Curve
Abstract. The verification performance of biometric systems is normally evaluated using the receiver operating characteristic (ROC) or detection error trade-off (DET) curve. We p...
Andy Adler, Michael E. Schuckers
JMLR
2010
161views more  JMLR 2010»
13 years 2 months ago
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...
ICIP
2008
IEEE
14 years 1 months ago
Detection of +/-1 LSB steganography based on the amplitude of histogram local extrema
Recently Zhang et al described an algorithm for the detection of ±1 LSB steganography based on the statistics of the amplitudes of local extrema in the greylevel histogram. Exper...
Giacomo Cancelli, Gwenaël J. Doërr, Inge...