Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dirisala J. Nagendra Kumar"'
Autor:
Dirisala J Nagendra Kumar, Vidhya K, S. Sagar Imambi, P. V. Pramila, Ashok Kumar, Vijayabhaskar V
Publikováno v:
2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).
Autor:
Garapati S. N. Murthy, Pullela SVVSR Kumar, Tadi Satya Kumari, T. Veerraju, Dirisala J. Nagendra Kumar, Chakka SVVSN Murthy
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811908392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1aef02ca4daaf3e5bbc1b6d330ce400
https://doi.org/10.1007/978-981-19-0840-8_5
https://doi.org/10.1007/978-981-19-0840-8_5
Autor:
Pullela SVVSR Kumar, Praveen Neti, Dirisala J. Nagendra Kumar, G. S. N. Murthy, R. V. S. Lalitha, Mylavarapu Kalyan Ram
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811908392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c42937fc4afefba0948515e8b3a7a4
https://doi.org/10.1007/978-981-19-0840-8_4
https://doi.org/10.1007/978-981-19-0840-8_4
Autor:
Dirisala J. Nagendra Kumar, J. V. R. Murthy, Suresh Chandra Satapathy, S. V. V. S. R. Kumar Pullela
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783642274428
Genetic Programming is an evolutionary soft computing approach. Data streams are the order of the day input sources. In general, data streams exhibit a peculiar behavior of drifting the concepts as time passes by. Here is a study of GP Classifier on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9a3d73bf56cfeb4a2ab3912a5f0e20
https://doi.org/10.1007/978-3-642-27443-5_30
https://doi.org/10.1007/978-3-642-27443-5_30
Autor:
J. V. R. Murthy, Dirisala J. Nagendra Kumar, Suresh Chandra Satapathy, S. V. V. S. R. Kumar Pullela
Publikováno v:
Swarm, Evolutionary, and Memetic Computing ISBN: 9783642271717
SEMCCO (1)
SEMCCO (1)
Genetic Programming is an evolutionary soft computing approach. Data streams are the order of the day input mechanisms. Here is a study of GP Classifier on Data Streams. GP classification performance is compared to that of other state-of-the-art data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc5c7990d0e936bbe6a733466b340d8b
https://doi.org/10.1007/978-3-642-27172-4_39
https://doi.org/10.1007/978-3-642-27172-4_39