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2014 22nd International Conference on Pattern Recognition Expression Microarray data classification using Counting Grids and Fisher Kernel Alessandro Perina
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Document Date: 2015-06-16 09:42:08

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City

New York / /

Country

Jordan / /

Currency

USD / /

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Facility

Tallinn University / /

IndustryTerm

employed tool / energy score spaces / inner product / free energy / biomedical applications / gene co-expression network / dot product / learning algorithm / /

MedicalCondition

tumor / Small Cell Lung Carcinoma / 1B the small-cell lung carcinomas / Cancer / schizophrenia / disease / lung tumors / small-cell lung carcinoma / tumour / distinct adenocarcinoma subclasses / Squamous Cell Lung Carcinomas / SCLC / clinical prostate cancer / diseases / small-cell lung carcinomas / human lung carcinomas / /

Organization

University of Verona / Artificial Intelligence / U.S. Securities and Exchange Commission / Microsoft Research alessandro.perina@iit.it Tallinn University of Technology / /

Person

Kernel Alessandro Perina Maria Kesa Manuele / Kernel Alessandro Perina / L. Garrigue-Antar / V / U. Castellani / V / /

Position

CG Fisher / dataset author / corresponding Fisher / generative model for such representations / Fisher / Method CG Fisher / well defined generative model and the Fisher / Capacity Fisher / /

ProvinceOrState

New York / /

PublishedMedium

PLoS ONE / Machine Learning / Communications of the ACM / /

Technology

learning algorithm / Bioinformatics / neural network / DNA Chip / gene expression / Machine Learning / /