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» Classifier Selection Based on Data Complexity Measures
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GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 2 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
CORR
2007
Springer
77views Education» more  CORR 2007»
14 years 10 months ago
Numerical removal of water-vapor effects from THz-TDS measurements
— One source of disturbance in a pulsed T-ray signal is attributed to ambient water vapor. Water molecules in the gas phase selectively absorb T-rays at discrete frequencies corr...
Withawat Withayachumnankul, Bernd M. Fischer, Samu...
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
15 years 10 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
14 years 7 months ago
A Robustness Measure of Association Rules
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
BMCBI
2010
190views more  BMCBI 2010»
14 years 10 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...