Výsledky vyhledávání - "Machine learning & statistics"

THE ROLE OF MATHEMATICS IN MACHINE LEARNING

Autor: Dr. Mithun B Patil, Prof. Santosh Jadhav, Dr. Sopan Talekar, Dr Vipul V Bag

Machine learning(ML) is the field of Computer Science that uses different models for prediction, classification, and analysis. Machine learning is a Mathematical model prerequisite by aggregation of linear algebra, statistics, calculus, and probabili

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::335eda1ed29ccfc6d8ac0773f0d61941

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UnB-AV: An Audio-Visual Database for Multimedia Quality Research

Autor: Helard Becerra Martinez, Andrew Hines, Mylène C. Q. Farias

Publikováno v: IEEE Access, Vol 8, Pp 56641-56649 (2020)

In this paper we present the UnB-AV database, which is a database of audio-visual sequences and quality scores aimed at multimedia quality research. The database contains a total of 140 source content, with a diverse semantic content, both in terms o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16e4b866e14b25e2ef4f5d6a61a9113f
https://ieeexplore.ieee.org/document/9042343/

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AI – someone needs to know what’s going on!

Autor: Boreham, Philip, McGrail, Tony, Mitiche, Imene

Publikováno v: Transformers Magazine
Volume 9
Issue SE2

When developing AI models, we must consider the cause and effect, whether the input-output relationship is meaningful, and is the relationship useful in predicting outcomes based on new data. This paper raises a crucial question about what a non-expl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______951::725c41ba604e3174d57002327c90ae4e
https://hrcak.srce.hr/file/414873

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Active semi-supervised overlapping community finding with pairwise constraints

Autor: Elham Alghamdi, Derek Greene

Publikováno v: Applied Network Science, Vol 4, Iss 1, Pp 1-27 (2019)

Algorithms for finding communities in complex networks are generally unsupervised, relying solely on the structure of the network. However, these methods can often fail to uncover meaningful groupings that reflect the underlying communities in the da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cbcdf41f5f9c56ac4d8df1eb8ebc602
http://link.springer.com/article/10.1007/s41109-019-0175-7

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Higgs boson studies: associated production with a vector boson and decay into b-quarks using the ATLAS Run-2 dataset

Autor: Spiteri, Dwayne

On the 4th July 2012, the Standard Model of Particle Physics received further validation with the discovery of the Higgs boson; ushering in a new age of Higgs physics. This thesis presents some of my contributions to the current research in this fiel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7dfeb6d73219142ea19dabf8b44b503d

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Elektronická kniha

Plunkett's Artificial Intelligence (AI) & Machine Learning Industry Almanac 2023: Artificial Intelligence (AI) & Machine Learning Industry Market Research, Statistics, Trends and Leading Companies

Autor: Jack W. Plunkett

PLUNKETT'S ARTIFICIAL INTELLIGENCE (AI) & MACHINE LEARNING INDUSTRY ALMANAC 2023 Key Findings: A complete market research report, including forecasts and market estimates, technologies analysis and developments at innovative firms within the Artifici

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Ensemble Topic Modeling using Weighted Term Co-associations

Autor: Derek Greene, Mark Belford

Topic modeling is a popular unsupervised technique that is used to discover the latent thematic structure in text corpora. The evaluation of topic models typically involves measuring the semantic coherence of the terms describing each topic, where a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27722f7317a71058b7d8100d19a1d0be

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Assessment of QoE for Video and Audio in WebRTC Applications Using Full-Reference Models

Autor: Andrew Hines, Francisco Gortázar, Boni García, Micael Gallego

Publikováno v: Electronics, Vol 9, Iss 3, p 462 (2020)
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Electronics
Volume 9
Issue 3

WebRTC is a set of standard technologies that allows exchanging video and audio in real time on the Web. As with other media-related applications, the user-perceived audiovisual quality can be estimated using Quality of Experience (QoE) measurements.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac05c4ef8130e731c9ac366f32915b7

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