Zobrazeno 1 - 10
of 35
pro vyhledávání: '"David R. Hardoon"'
Autor:
David R. Hardoon
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/d0662bf66f1a4cbf84c538e27d14125f
Publikováno v:
Manufacturing & Service Operations Management. 24:3039-3059
Problem definition: We use a realistically large, publicly available data set from a global fintech lender to simulate the impact of different antidiscrimination laws and their corresponding data management and model-building regimes on gender-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc82b5f93260e5a6f7f2f007004216fc
https://doi.org/10.1287/msom.2022.1108
https://doi.org/10.1287/msom.2022.1108
Publikováno v:
SSRN Electronic Journal.
As the COVID-19 health pandemic ebbs and flows world-wide, governments and private companies across the globe are utilising AI-assisted surveillance, reporting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99ff1ab0b4464b2d6ba4fb03baab329
https://doi.org/10.2139/ssrn.3609887
https://doi.org/10.2139/ssrn.3609887
Publikováno v:
Recent Advances in Information and Communication Technology 2018 ISBN: 9783319936918
E-commerce provides convenience and flexibility for consumers; for example, they can inquire about the availability of a desired product and get immediate response, hence they can seamlessly search for any desired products. Every day, e-commerce site
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07a856a02b8a40b0ecd518badbc15a28
https://doi.org/10.1007/978-3-319-93692-5_1
https://doi.org/10.1007/978-3-319-93692-5_1
Publikováno v:
Advances in Neural Networks-ISNN 2017 ISBN: 9783319590714
ISNN (1)
ISNN (1)
The revolution of the digital age has resulted in e-commerce where consumers’ shopping is facilitated and flexible such as able to enquire about product availability and get instant response as well as able to search flexibly for products by using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5179cdb837d0c5a0726e71e9d53c71a
https://doi.org/10.1007/978-3-319-59072-1_2
https://doi.org/10.1007/978-3-319-59072-1_2
Autor:
David R. Hardoon, Vivekanand Gopalkrishnan, Ghim-Eng Yap, Suryani Lukman, Gao Cong, Kelvin Sim
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 25:1213-1226
Actionable 3D subspace clustering from real-world continuous-valued 3D (i.e., object-attribute-context) data promises tangible benefits such as discovery of biologically significant protein residues and profitable stocks, but existing algorithms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08e2b4db6815c2b8e667c93d20e52834
https://doi.org/10.1109/tkde.2012.37
https://doi.org/10.1109/tkde.2012.37
Autor:
David R. Hardoon, Amy Shi-Nash
Publikováno v:
Internet of Things and Data Analytics Handbook
This chapter outlines the key principles of machine learning and predictive analytics. It explains the new fundamentals of big data and the evolving technology. The chapter follows by the practical advice on how organizations can establish a new cult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194695cb87852f68117bb8357f5188a3
https://doi.org/10.1002/9781119173601.ch19
https://doi.org/10.1002/9781119173601.ch19
Publikováno v:
IEEE Transactions on Information Theory. 57:5326-5341
We derive generalization error (loss) bounds for orthogonal matching pursuit algorithms, starting with kernel matching pursuit and sparse kernel principal components analysis. We propose (to the best of our knowledge) the first loss bound for kernel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2b6c66daca96080eb2397bedba2a82f
https://doi.org/10.1109/tit.2011.2158880
https://doi.org/10.1109/tit.2011.2158880
Publikováno v:
International Journal of Machine Learning and Cybernetics. 2:125-134
It is generally assumed that one-class machine learning techniques can not reach the performance level of two-class techniques. The importance of this work is that while one-class is often the appropriate classification setting for identifying cognit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::038be502c5cc2ddeda2f4fb50e0314b3
https://doi.org/10.1007/s13042-011-0030-3
https://doi.org/10.1007/s13042-011-0030-3
Autor:
David R. Hardoon, Shiliang Sun
Publikováno v:
Neurocomputing. 73:2980-2988
In the setting of active learning there exists a general assumption that labeled examples are available for training a classifier, which in turn is used to examine unlabeled data to select the most 'informative' examples for manual labeling. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de44ca88d0319e3588a9648092fe9fca
https://doi.org/10.1016/j.neucom.2010.07.007
https://doi.org/10.1016/j.neucom.2010.07.007