Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Real classification"'
Autor:
Manisha Sharma, Rahul Mannan, Mohit Madhukar, Sanjay Navani, Mridu Manjari, Tejinder Singh Bhasin, Karamjit Singh Gill
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 8, Iss 1, Pp 46-49 (2014)
Introduction: The distribution of the major subtypes of non-Hodgkin’s lymphoma (NHL) differs across geographic regions. This study, from the north Indian state of Punjab, has incorporated immunophenotypic findings while investigating the distri
Externí odkaz:
https://doaj.org/article/f0e0acf6a3ff4805aac4a3790e2bdb69
Publikováno v:
Advances in Data Analysis and Classification. 15:289-313
In many real classification problems a monotone relation between some predictors and the classes may be assumed when higher (or lower) values of those predictors are related to higher levels of the response. In this paper, we propose new boosting alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1ce35c6a681f0c705e197e4202f3c6
https://doi.org/10.1007/s11634-020-00404-9
https://doi.org/10.1007/s11634-020-00404-9
Autor:
Paweł Zyblewski, Michał Woźniak
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030878962
ICAISC (2)
ICAISC (2)
Real data streams often, in addition to the possibility of concept drift occurrence, can display a high imbalance ratio. Another important problem with real classification tasks, often overlooked in the literature, is the cost of obtaining labels. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6676ff0d58d56532878f410f7960d937
https://doi.org/10.1007/978-3-030-87897-9_20
https://doi.org/10.1007/978-3-030-87897-9_20
Akademický článek
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Publikováno v:
ICBK
Classification is a hot topic in such fields as machine learning and data mining. The traditional approach of machine learning is to find a classifier closest to the real classification function, while ensemble classification is to integrate the resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae2914ab044716e5f6708a741b56c85
https://doi.org/10.1109/icbk.2019.00024
https://doi.org/10.1109/icbk.2019.00024
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319914787
IPMU (3)
IPMU (3)
Fuzzy relational compositions have been extended and studied from distinct perspectives, and their use on the classification problem has been already demonstrated too. One of the recent approaches foreshadowed the positive influence of the so-called
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1c961451efd028ce110599fbfc61bcc
https://doi.org/10.1007/978-3-319-91479-4_15
https://doi.org/10.1007/978-3-319-91479-4_15
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030015534
GameSec
GameSec
We introduce a form of steganography in the domain of machine learning which we call training set camouflage. Imagine Alice has a training set on an illicit machine learning classification task. Alice wants Bob (a machine learning system) to learn th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3024981b6dd26189dca090b7dc0a1fc0
https://doi.org/10.1007/978-3-030-01554-1_4
https://doi.org/10.1007/978-3-030-01554-1_4
Report of the Symposium on Cutaneous Lymphomas: Sixth International Conference on Malignant Lymphoma
Autor:
E. S. Jaffe, Günter Burg
The symposium discussed the pathobiology, classification, and treatment of cutaneous lymphomas. Drs. Burg and Kadin commented on the pathophysiology of mycosis fungoides/Sezary syndrome and cutaneous CD30+ lymphoproliferative disorders, respectively.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c286ffe0cd813e51a38853a61a21279
http://doc.rero.ch/record/294148/files/8-suppl_1-S83.pdf
http://doc.rero.ch/record/294148/files/8-suppl_1-S83.pdf
Autor:
Zhigang Yan, Yuanxuan Yang
Publikováno v:
International Journal of Grid and Distributed Computing. 7:67-76
The theoretical upper bound of generalization error for ECOC SVMs is derived based on Fat-Shattering dimensionality and covering number. The factors affecting the generalization performance of ECOC SVMs are analyzed. From the analysis, it is believed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3abd78969768ef46f3cec74be5b03b3f
https://doi.org/10.14257/ijgdc.2014.7.1.07
https://doi.org/10.14257/ijgdc.2014.7.1.07
Publikováno v:
Arthroscopy: The Journal of Arthroscopic & Related Surgery. 34:2273-2274
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e1e1a8ac654461e20b158a85e47d9b7
https://doi.org/10.1016/j.arthro.2018.06.010
https://doi.org/10.1016/j.arthro.2018.06.010