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Optimasi Prakiraan Cuaca Menggunakan Metode Ensemble pada Naïve Bayes dan C4.5

open access: yesJuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2022
Peramalan cuaca merupakan hal yang penting bagi keberlangsungan hidup masyarakat luas. Oleh karena itu, akurasi dari peramalan cuaca haruslah tinggi. Berdasarkan hal itu maka dilakukan penelitian untuk meningkatkan akurasi peramalan cuaca dengan model ...
Vini Indri Yani   +2 more
doaj   +1 more source

Ensembl 2015 [PDF]

open access: yesNucleic Acids Research, 2014
Ensembl (http://www.ensembl.org) is a genomic interpretation system providing the most up-to-date annotations, querying tools and access methods for chordates and key model organisms. This year we released updated annotation (gene models, comparative genomics, regulatory regions and variation) on the new human assembly, GRCh38, although we continue to ...
Fiona Cunningham   +48 more
openaire   +2 more sources

Body and Hand–Object ROI-Based Behavior Recognition Using Deep Learning

open access: yesSensors, 2021
Behavior recognition has applications in automatic crime monitoring, automatic sports video analysis, and context awareness of so-called silver robots. In this study, we employ deep learning to recognize behavior based on body and hand–object interaction
Yeong-Hyeon Byeon   +3 more
doaj   +1 more source

METHOD OF TECHNICAL TRAINING OF THE ATHLETE-DANCER IN ENSEMBLE PERFORMANCE OF BALLROOM DANCING

open access: yesВестник Тамбовского университета. Серия: Гуманитарные науки, 2016
The concept “formation” as a form of sports dance, standards specific criteria of refereeing competitive activity, conditionality commanding performance by Latin American and European programs.
Tatyana Sergeevna Zinoveva   +1 more
doaj   +1 more source

Intelligent Decision Forest Models for Customer Churn Prediction

open access: yesApplied Sciences, 2022
Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry.
Fatima Enehezei Usman-Hamza   +9 more
doaj   +1 more source

Ensembl 2013 [PDF]

open access: yesNucleic Acids Research, 2012
The Ensembl project (http://www.ensembl.org) provides genome information for sequenced chordate genomes with a particular focus on human, mouse, zebrafish and rat. Our resources include evidenced-based gene sets for all supported species; large-scale whole genome multiple species alignments across vertebrates and clade-specific alignments for eutherian
Paul Flicek   +54 more
openaire   +3 more sources

EDNC: Ensemble Deep Neural Network for COVID-19 Recognition

open access: yesTomography, 2022
The automatic recognition of COVID-19 diseases is critical in the present pandemic since it relieves healthcare staff of the burden of screening for infection with COVID-19.
Lin Yang, Shui-Hua Wang, Yu-Dong Zhang
doaj   +1 more source

Optimizing convection‐permitting ensemble via selection of the coarse ensemble driving members

open access: yesMeteorological Applications, 2023
Nowadays, several global ensembles (GEs) which consist of several tens of members are being run operationally. In order to locally improve the probabilistic forecasts, various forecasting centers and research institutes utilize the GEs as initial and ...
Pavel Khain   +8 more
doaj   +1 more source

Ensembl 2004 [PDF]

open access: yesNucleic Acids Research, 2004
The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organize biology around the sequences of large genomes. It is a comprehensive and integrated source of annotation of large genome sequences, available via interactive website, web services or flat files.
Ewan Birney   +47 more
openaire   +3 more sources

Ensemble Linear Interpolators: The Role of Ensembling

open access: yesSIAM Journal on Mathematics of Data Science
Interpolators are unstable. For example, the mininum $\ell_2$ norm least square interpolator exhibits unbounded test errors when dealing with noisy data. In this paper, we study how ensemble stabilizes and thus improves the generalization performance, measured by the out-of-sample prediction risk, of an individual interpolator.
Mingqi Wu, Qiang Sun
openaire   +2 more sources

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