Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Leonid Kalinichenko"'
Autor:
Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin
This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017.The 16 revised full papers presented together wi
This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016. The 16 revised full papers presented t
Workflow management systems (WFMS) are enjoying increasing popular ity due to their ability to coordinate and streamline complex organizational processes within organizations of all sizes. Organizational processes are de scriptions of an organiza
This volume contains 29 submitted and 2 invited papers presented at the tenth East-European Conference on Advances in Databases and Information Systems (ADVIS 2003), which took place in Dresden, Germany, September 3–6, 2003. An international progra
Autor:
Maurizio Paolillo, Massimo Brescia, Giuseppe Angora, Stefano Cavuoti, Giuseppe Riccio, Thomas H. Puzia
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319965529
DAMDID/RCDL (Selected Papers)
DAMDID/RCDL (Selected Papers)
Within scientific and real life problems, classification is a typical case of extremely complex tasks in data-driven scenarios, especially if approached with traditional techniques. Machine Learning supervised and unsupervised paradigms, providing se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6aa3c320863e15bc42a8bea74984dee
https://doi.org/10.1007/978-3-319-96553-6_7
https://doi.org/10.1007/978-3-319-96553-6_7
Machine learning methods have become crucial to many aspects of astrophysics and cosmology. We focus on the evaluation of photometric redshifts as a template case of classification/regression problem in astronomical data mining. We discuss the genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::94f7228114e59b6fc062ee3700e5cd72
https://hdl.handle.net/11588/697488
https://hdl.handle.net/11588/697488
Publikováno v:
NASA Astrophysics Data System
Scopus-Elsevier
Scopus-Elsevier
In Astrophysics, the identification of candidate Globular Clusters through deep, wide-field, single band HST images, is a typical data analytics problem, where methods based on Machine Learning have revealed a high efficiency and reliability, demonst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc362974c1c06c2ddfdb5c00bf647685
https://ui.adsabs.harvard.edu/#abs/2017arXiv171003900A
https://ui.adsabs.harvard.edu/#abs/2017arXiv171003900A