Results 151 to 160 of about 3,247,690 (230)

Integration of unpaired and heterogeneous clinical flow cytometry data. [PDF]

iScience
Phuycharoen M, Kaestele V, Williams T, Lin L, Hussell T, Grainger J, CIRCO, Rattray M.   +7 more
europepmc   +1 more source

Cognitive maps for hierarchical spaces in the human brain. [PDF]

Cereb Cortex
Peer M, Epstein RA.
europepmc   +1 more source

A subspace learning aided matrix factorization for drug repurposing. [PDF]

Bioimpacts
Zhalefar AM, Narimani Z.
europepmc   +1 more source

A Novel Chemical-Space-Dependent Strategy for Compound Selection in Non-target LC-HRMS Method Development Using Physicochemical and Structural Data. [PDF]

Environ Sci Technol Lett
Renai L, Turkina V, Hulleman T, Nikolopoulos A, Gargano AFG, Amato ED, Del Bubba M, Samanipour S.   +7 more
europepmc   +1 more source

SeOMLR: one-step multi-view latent representation with self-weighted ensemble learning for multi-omics cancer subtyping. [PDF]

Bioinformatics
Song W, Sun Y, Ou-Yang L.
europepmc   +1 more source

Subspace Identification: Theory, Implementation, Application

, 1995
openaire   +1 more source

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Uncertainty quantification in data-driven stochastic subspace identification

Mechanical Systems and Signal Processing, 2021
A crucial aspect in system identification is the assessment of the accuracy of the identified system matrices. Stochastic Subspace Identification (SSI) is a widely used approach for the identification of linear systems from output-only data because it ...
E. Reynders
semanticscholar   +3 more sources

Subspace identification of individual systems in a large-scale heterogeneous network

Automatica, 2019
This paper considers the identification of a network consisting of discrete-time LTI systems that are interconnected by their unmeasurable states. For a large-scale network, the computational burden prevents a centralized solution.
Chengpu Yu, Jie Chen, M. Verhaegen
semanticscholar   +3 more sources