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Ryan J Urbanowicz

Showing results (1-10 of 32) with videos related to

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Evolutionary Intelligence|September 30, 2015
ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier SystemRyan J Urbanowicz, Jason H Moore
Biodata Mining|October 17, 2018
To know the objective is not (necessarily) to know the objective functionMoshe Sipper, Ryan J Urbanowicz, Jason H Moore
Evolutionary Intelligence|December 21, 2013
A Multi-Core Parallelization Strategy for Statistical Significance Testing in Learning Classifier SystemsJames Rudd, Jason H Moore, Ryan J Urbanowicz
IEEE Computational Intelligence Magazine|November 29, 2014
An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier SystemsRyan J Urbanowicz, Ambrose Granizo-Mackenzie, Jason H Moore
Genetic and Evolutionary Computation Conference : [Proceedings]. Genetic and Evolutionary Computation Conference|September 29, 2012
Mask Functions for the Symbolic Modeling of Epistasis Using Genetic ProgrammingRyan J Urbanowicz, Bill C White, Jason H Moore
Biodata Mining|September 28, 2012
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selectionRyan J Urbanowicz, Jeff Kiralis, Jonathan M Fisher, et al.
Bioinformatics (Oxford, England)|September 22, 2018
STatistical Inference Relief (STIR) feature selectionTrang T Le, Ryan J Urbanowicz, Jason H Moore, et al.
Biodata Mining|July 25, 2014
A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detectionRyan J Urbanowicz, Ambrose Ls Granizo-Mackenzie, Jeff Kiralis, et al.
Genetic Epidemiology|August 4, 2022
Genetic heterogeneity: Challenges, impacts, and methods through an associative lensAlexa A Woodward, Ryan J Urbanowicz, Adam C Naj, et al.
Research Square|September 16, 2024
Assessing the Limitations of Relief-Based Algorithms in Detecting Higher-Order InteractionsPhilip J Freda, Suyu Ye, Robert Zhang, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Evolutionary Intelligence|September 30, 2015
ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier SystemRyan J Urbanowicz, Jason H Moore
Biodata Mining|October 17, 2018
To know the objective is not (necessarily) to know the objective functionMoshe Sipper, Ryan J Urbanowicz, Jason H Moore
Evolutionary Intelligence|December 21, 2013
A Multi-Core Parallelization Strategy for Statistical Significance Testing in Learning Classifier SystemsJames Rudd, Jason H Moore, Ryan J Urbanowicz
IEEE Computational Intelligence Magazine|November 29, 2014
An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier SystemsRyan J Urbanowicz, Ambrose Granizo-Mackenzie, Jason H Moore
Genetic and Evolutionary Computation Conference : [Proceedings]. Genetic and Evolutionary Computation Conference|September 29, 2012
Mask Functions for the Symbolic Modeling of Epistasis Using Genetic ProgrammingRyan J Urbanowicz, Bill C White, Jason H Moore
Biodata Mining|September 28, 2012
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selectionRyan J Urbanowicz, Jeff Kiralis, Jonathan M Fisher, et al.
Bioinformatics (Oxford, England)|September 22, 2018
STatistical Inference Relief (STIR) feature selectionTrang T Le, Ryan J Urbanowicz, Jason H Moore, et al.
Biodata Mining|July 25, 2014
A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detectionRyan J Urbanowicz, Ambrose Ls Granizo-Mackenzie, Jeff Kiralis, et al.
Genetic Epidemiology|August 4, 2022
Genetic heterogeneity: Challenges, impacts, and methods through an associative lensAlexa A Woodward, Ryan J Urbanowicz, Adam C Naj, et al.
Research Square|September 16, 2024
Assessing the Limitations of Relief-Based Algorithms in Detecting Higher-Order InteractionsPhilip J Freda, Suyu Ye, Robert Zhang, et al.
Pageof 4