GPU Implementation of Sparse Matrice on Artificial Intelligence

Autor: Hsu, Chun-Kai, 許俊凱

107
In recent years, artificial intelligence AI (Artificial Intelligence) has become one of the most popular research, it refers to computer software through statistical analysis and rule reasoning of datasets. Machine Learning ML (Machine Learn

Externí odkaz: http://ndltd.ncl.edu.tw/handle/ykyg7m

Single-step SNP-BLUP with on-the-fly imputed genotypes and residual polygenic effects

Autor: Matti Taskinen, Esa A. Mäntysaari, Ismo Strandén

Publikováno v: Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-15 (2017)

Abstract Background Single-step genomic best linear unbiased prediction (BLUP) evaluation combines relationship information from pedigree and genomic marker data. The inclusion of the genomic information into mixed model equations requires the invers

Externí odkaz: https://doaj.org/article/df82df10788a493b8eeddb5f217ed2c5

A finite element method for quantum graphs

Autor: Mario Arioli, Michele Benzi

Publikováno v: IMA Journal of Numerical Analysis. 38:1119-1163

We study the numerical solution of boundary and initial value problems for differential equations posed on graphs or networks. The graphs of interest are quantum graphs, i.e., metric graphs endowed with a differential operator acting on functions def

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7cca6d248095da65427bf9c0f7f8a7c
https://doi.org/10.1093/imanum/drx029

Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices

Autor: Marco Chiani, Andrea Giorgetti, Ahmed Elzanaty

One of the key issues in the acquisition of sparse data by means of compressed sensing (CS) is the design of the measurement matrix. Gaussian matrices have been proven to be information-theoretically optimal in terms of minimizing the required number

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5892a2d3cd7da5ceb9563f221caba3b4
http://arxiv.org/abs/1802.03195

Single-step SNP-BLUP with on-the-fly imputed genotypes and residual polygenic effects

Autor: Esa Mäntysaari, Matti Taskinen, Ismo Strandén

Publikováno v: Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.36. ⟨10.1186/s12711-017-0310-9⟩
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-15 (2017)
Genetics, Selection, Evolution : GSE

International audience; AbstractBackgroundSingle-step genomic best linear unbiased prediction (BLUP) evaluation combines relationship information from pedigree and genomic marker data. The inclusion of the genomic information into mixed model equatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1d7c1d2d8e5e718f09a880007b98905
https://hal.archives-ouvertes.fr/hal-01499292