Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Kaushal K Shukla"'
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:2288-2295
Restrictive public health measures such as isolation and quarantine have been used to reduce the pandemic viruss transmission. With no proper treatment, older adults have been specifically advised to stay home, given their vulnerability to COVID-19.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbb245951d7559b4fd1acc6447f43e75
https://doi.org/10.1109/jbhi.2021.3121296
https://doi.org/10.1109/jbhi.2021.3121296
Publikováno v:
Neural Processing Letters. 53:3981-4010
Training a machine learning model on the data sets with missing labels is a challenging task. Not all models can handle the problem of missing labels. However, if these data sets are further corrupted with label noise, it becomes even more challengin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f93eb1f0abf565141c34ee106189fb6
https://doi.org/10.1007/s11063-021-10578-8
https://doi.org/10.1007/s11063-021-10578-8
Publikováno v:
ACM Transactions on Internet Technology. 21:1-28
Nature-inspired optimization is one of the most prevalent research domains with a confounding history that fascinates the research communities. Particle Swarm Optimization is one of the well-known optimizers that belongs to the family of nature-inspi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60705d9401e783a8af31bf9ba237eaf5
https://doi.org/10.1145/3397679
https://doi.org/10.1145/3397679
Publikováno v:
Neural Computing and Applications. 34:21433-21447
Generative adversarial networks (GANs) have been accepted as powerful models in the field of computer vision, speech and language processing, etc. However, a major concern regarding GANs is the requirement of paired images for image-to-image translat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21d9a3e1632ea5e24b2940a8d19eff17
https://doi.org/10.1007/s00521-021-05975-y
https://doi.org/10.1007/s00521-021-05975-y
Publikováno v:
Neural Processing Letters. 52:2211-2239
As support vector machines (SVM) are used extensively in machine learning applications, it becomes essential to obtain a sparse model that is also robust to noise in the data set. Although many researchers have presented different approaches to get a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::340de2233b69f31a0dcbac47e396a372
https://doi.org/10.1007/s11063-020-10346-0
https://doi.org/10.1007/s11063-020-10346-0
Autor:
Mridula Verma, Kaushal K. Shukla
Publikováno v:
Neurocomputing. 388:288-300
Proximal algorithms are popular class of methods for handling sparsity structure in the datasets due to their low iteration costs and faster convergence. In this paper, we consider the framework of the sum of two convex functions, one of which is a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::917f2ece949ed0966a9643b9a2dfd758
https://doi.org/10.1016/j.neucom.2020.01.049
https://doi.org/10.1016/j.neucom.2020.01.049
Publikováno v:
Optimization. 70:75-100
First-order methods such as proximal gradient, which use Forward–Backward Splitting techniques have proved to be very effective in solving nonsmooth convex minimization problem, which is useful in ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d90d533cc720edef765991961747ce36
https://doi.org/10.1080/02331934.2019.1702040
https://doi.org/10.1080/02331934.2019.1702040
Publikováno v:
International Journal of Machine Learning and Cybernetics. 11:1359-1385
This paper gives an overview of developments in the field of robust optimization in machine learning (ML) in general and Support Vector Machine (SVM)/Support Vector Regression (SVR) models in particular. This survey comprises of researches in which r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87154629bc01eb6552a9273bc4197682
https://doi.org/10.1007/s13042-019-01044-y
https://doi.org/10.1007/s13042-019-01044-y
Autor:
Kaushal K. Shukla, Manisha Singla
Publikováno v:
Neural Computing and Applications. 32:11173-11194
Support vector machines (SVMs) are versatile learning models which are used for both classification and regression. Several authors have reported successful applications of SVM in a wide range of fields. With the continuous growth and development in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c5ca2cb38a35bcac412eafdaa162020
https://doi.org/10.1007/s00521-019-04627-6
https://doi.org/10.1007/s00521-019-04627-6
Publikováno v:
Information Sciences. 504:276-292
In this paper, we correct some errors in the extended first and second Gordan’s theorems in a recent paper—Information Sciences 504 (2019) 276–292.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a9f121bd2e14788e6276636859d4770
https://doi.org/10.1016/j.ins.2019.07.017
https://doi.org/10.1016/j.ins.2019.07.017