Zobrazeno 1 - 10
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pro vyhledávání: '"Weighted Majority Algorithm"'
Akademický článek
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Publikováno v:
IEEE Transactions on Artificial Intelligence. 2:260-268
In this article, an automated heartbeat classification has been proposed to prevent the growing threats of cardiovascular diseases around the world. The MIT-BIH arrhythmia database has been used for the training and testing of the proposed approach.
Autor:
Hoai An Le Thi, Vinh Thanh Ho
Publikováno v:
Neural Computing and Applications
Neural Computing and Applications, Springer Verlag, In press, ⟨10.1007/s00521-021-05709-0⟩
Neural Computing and Applications, Springer Verlag, In press, ⟨10.1007/s00521-021-05709-0⟩
We investigate DC (Difference of Convex functions) programming and DCA (DC Algorithm) for a class of online learning techniques, namely prediction with expert advice, where the learner’s prediction is made based on the weighted average of experts
Publikováno v:
Information Security Journal: A Global Perspective. 31:125-143
Internet of Things (IoT) is expected to improve our lifestyle in a noticeable way. However, although the IoT holds a lot of chances, it contains a lot of serious risks. This leads to a focus on dev...
Autor:
Minu Lalitha Madhavu, P. Varsha Suresh
Publikováno v:
ICCCNT
A Cyber Attack is a sudden attempt launched by cybercriminals against multiple computers or networks. According to evolution of cyber space, insider attack is the most serious attack faced by end users, all over the world. Cyber Security reports show
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783030707125
Smart healthcare applications such as smart fitness, smart watches, and elderly remote monitoring devices have reduced the load on traditional healthcare organizations and led to healthier lifestyles. Nevertheless, these devices are under high risk o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6538860ef1af6ad95ca7fd27aaa16d7
https://doi.org/10.1007/978-3-030-70713-2_70
https://doi.org/10.1007/978-3-030-70713-2_70
Publikováno v:
Memetic Computing. 11:27-34
This paper proposes an improved weighted extreme learning machine (IW-ELM) for imbalanced data classification. By incorporating voting method into weighted extreme learning machine (weighted ELM), three major steps are involved in the proposed method
Learning in non-stationary environments is a challenging task which requires the updating of predictive models to deal with changes in the underlying probability distribution of the problem, i.e., dealing with concept drift. Most work in this area is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46cfcd9232b824e8e3ad685a52eda9e4
https://centaur.reading.ac.uk/85781/1/cameraReady.pdf
https://centaur.reading.ac.uk/85781/1/cameraReady.pdf
Autor:
M.A.B.K. Muhandiram, W.A.S.P. Dharmapriya, Narmada Gamage, G.G. Ravindu Nimesh, W.H. Rankothge, K.G. Supipi
Publikováno v:
2019 International Conference on Advancements in Computing (ICAC).
Cloud computing offers many types of computer related services without the direct active management of their users. Cloud Service Providers (CSPs) are responsible to manage these services such as placement of services in the cloud, resource allocatio
Akademický článek
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