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» Classifier Selection Based on Data Complexity Measures
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ICML
2001
IEEE
15 years 10 months ago
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation
This work is concerned with the estimation of a classifier's accuracy. We first review some existing methods for error estimation, focusing on cross-validation and bootstrap,...
Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram
ICDM
2007
IEEE
103views Data Mining» more  ICDM 2007»
15 years 4 months ago
An Examination of Experimental Methodology for Classifiers of Relational Data
Experimental methodology for evaluating classification algorithms in relational (i.e., networked) data is complicated by dependencies between related data instances. We survey the...
Brian Gallagher, Tina Eliassi-Rad
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
14 years 11 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
IWANN
2001
Springer
15 years 2 months ago
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
Elisa Guerrero Vázquez, Andrés Y&aac...
ICPR
2002
IEEE
15 years 11 months ago
View-Based Dynamic Object Recognition Based on Human Perception
Psychophysical studies have shown that humans actively exploit temporal information such as contiguity of images in object recognition. We have recently developed a recognition sy...
Arnulf B. A. Graf, Christian Wallraven, Heinrich H...