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Ryan J Urbanowicz
Bill C White
Jason H Moore

Showing results (1-10 of 504) with videos related to

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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
Evolutionary Intelligence|September 30, 2015
ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier SystemRyan 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|January 4, 2011
Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic ProgrammingCasey S Greene, Bill C White, Jason H Moore
Expert Review of Proteomics|June 22, 2005
Integrated analysis of genetic, genomic and proteomic dataDavid M Reif, 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.
Pageof 51

Showing results (1-10 of 504) with videos related to

Sort By:
Pageof 51
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
Evolutionary Intelligence|September 30, 2015
ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier SystemRyan 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|January 4, 2011
Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic ProgrammingCasey S Greene, Bill C White, Jason H Moore
Expert Review of Proteomics|June 22, 2005
Integrated analysis of genetic, genomic and proteomic dataDavid M Reif, 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.
Pageof 51