Results 281 to 290 of about 921,197 (342)

KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model. [PDF]

BioData Min
Gordon M, Akyol TY, Amos B, Andersen SU, Williams C.   +4 more
europepmc   +1 more source

Research into dictionary use by Polish learners of English: Some methodological considerations

, 2006
Anna Dziemianko, Robert Lew
openalex   +1 more source

Enhancing Public Healthcare Through VADER Sentiment Analysis: A Case Study on Patient Complaints. [PDF]

J Patient Exp
Coelho JV, Barbosa LDC.
europepmc   +1 more source

Recent Trends of Electronic Dictionary Research and Development in Europe

, 1994
Gilles Sérasset
openalex   +1 more source

A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. [PDF]

Sci Rep
Abdelkreem E, Hussein S, Tammam A.
europepmc   +1 more source

Extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model for Critical Care Medicine: A Framework for Standardizing Complex ICU Data Using the Society of Critical Care Medicine's Critical Care Data Dictionary (C2D2). [PDF]

Crit Care Med
Adams MCB, Hurley RW, Bartels K, Perkins ML, Hudson C, Topaloglu U, Cobb JP, Reuter-Rice K, Stocking JC, Khanna AK.   +9 more
europepmc   +1 more source

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Helix Health Research Data Dictionary Template

2022
As part of Monash University (Helix) Health Research Data Governance strategy a working group was established in 2019 to develop a data dictionary template.This is an excel version of the template that can be output into a word document. It contains all the metadata (characteristics) that should be included in a health research data dictionary in a ...
Brown, Dianne, Sparks, Simone, Earnest, Arul, Lucas, Mark, Thompson, Robin, Macmanus, Chris   +5 more
openaire   +2 more sources

Dictionary Learning Research Based on Sparse Representation

2012 International Conference on Computer Science and Service System, 2012
Although the number of representation subspaces is large, only few ones will contain data samples from sensor measurements. By identifying these few subspaces, we find the representation in the reduced space. We describe sparse representation and dictionary learning methods. Finally there is the experiment of the application of dictionary learning. The
Lijuan Song, Jinye Peng
openaire   +1 more source