Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Ekaba Bisong"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learning model for predicting high blo
Externí odkaz:
https://doaj.org/article/d89c246a833d453e8a7eda5ad5a623c1
Autor:
O. Ekaba Bisong, B. John Oommen
Publikováno v:
Evolving Systems. 12:655-686
In this paper, the Transitivity Pursuit-Enhanced Object Migration Automata (TPEOMA) is used to capture the dependence of elements in a hierarchical Singly-Linked-Lists on Singly-Linked-Lists (SLLs-on-SLLs) “adaptive” data structure. In doing so,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::223838c5df0b582d6ae3b1f8e1113487
https://doi.org/10.1007/s12530-021-09378-1
https://doi.org/10.1007/s12530-021-09378-1
Autor:
Ekaba Bisong, O., John Oommen, B.
Publikováno v:
Artificial Intelligence Applications and Innovations
The study of Self-organizing lists deals with the problem of lowering the average-case asymptotic cost of a list data structure receiving query accesses in Non-stationary Environments (NSEs) with the so-called “locality of reference” property. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::14c5e22e0a3d7d12597a32b783f07931
http://europepmc.org/articles/PMC7256402
http://europepmc.org/articles/PMC7256402
Autor:
Shweta Bhatt, Thomas Wagner, Souradip Chakraborty, Riley Elliott, Ekaba Bisong, Francesco Mosconi
Publikováno v:
COLING
The SARS-CoV-2 (COVID-19) pandemic spotlighted the importance of moving quickly with biomedical research. However, as the number of biomedical research papers continue to increase, the task of finding relevant articles to answer pressing questions ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cde61757961c5b3ef90fec1e20bea0d
https://doi.org/10.18653/v1/2020.coling-main.59
https://doi.org/10.18653/v1/2020.coling-main.59
Autor:
B. John Oommen, O. Ekaba Bisong
Publikováno v:
Evolving Systems
With the advent of “Big Data” as a field, in and of itself, there are at least three fundamentally new questions that have emerged, namely the Artificially Intelligence (AI)-based algorithms required, the hardware to process the data, and the met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::260a8fee551f6b534250fe2e0aef2b47
https://hdl.handle.net/11250/2735129
https://hdl.handle.net/11250/2735129
Autor:
B. John Oommen, O. Ekaba Bisong
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491604
AIAI (1)
AIAI (1)
The study of Self-organizing lists deals with the problem of lowering the average-case asymptotic cost of a list data structure receiving query accesses in Non-stationary Environments (NSEs) with the so-called “locality of reference” property. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb9eb2a1e7d9dc9bed3d0e0aa24434d1
https://doi.org/10.1007/978-3-030-49161-1_20
https://doi.org/10.1007/978-3-030-49161-1_20
Autor:
Ekaba Bisong
Publikováno v:
Building Machine Learning and Deep Learning Models on Google Cloud Platform ISBN: 9781484244692
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4317a29c109806f0aa03c3f1df949f1a
https://doi.org/10.1007/978-1-4842-4470-8_7
https://doi.org/10.1007/978-1-4842-4470-8_7
Autor:
Ekaba Bisong
Publikováno v:
Building Machine Learning and Deep Learning Models on Google Cloud Platform ISBN: 9781484244692
The Google Cloud Machine Learning Engine, simply known as Cloud MLE, is a managed Google infrastructure for training and serving “large-scale” machine learning models. Cloud ML Engine is a part of GCP AI Platform. This managed infrastructure can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb8bb4bb36e46de05a7916ca4b4926c1
https://doi.org/10.1007/978-1-4842-4470-8_41
https://doi.org/10.1007/978-1-4842-4470-8_41
Autor:
Ekaba Bisong
Publikováno v:
Building Machine Learning and Deep Learning Models on Google Cloud Platform ISBN: 9781484244692
Machine learning is often and rightly viewed as the use of mathematical algorithms to teach the computer to learn tasks that are computationally infeasible to program as a set of specified instructions. However, it turns out that these algorithms con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::538056956b7d88f6aa4f7381de90b9d0
https://doi.org/10.1007/978-1-4842-4470-8_46
https://doi.org/10.1007/978-1-4842-4470-8_46