Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jacek Koronacki"'
Autor:
Jacek Koronacki, Michał Dramiński
Publikováno v:
Journal of Statistical Software; Vol 85 (2018); 1-28
Journal of Statistical Software, Vol 85, Iss 1, Pp 1-28 (2018)
Journal of Statistical Software, Vol 85, Iss 1, Pp 1-28 (2018)
We describe the R package rmcfs that implements an algorithm for ranking features from high dimensional data according to their importance for a given supervised classification task. The ranking is performed prior to addressing the classification tas
Publikováno v:
Studies in Big Data ISBN: 9783319269870
The availability of very large data sets in Life Sciences provided earlier by the technological breakthroughs such as microarrays and more recently by various forms of sequencing has created both challenges in analyzing these data as well as new oppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec2844b78965518909f3b1eef1f95da3
https://doi.org/10.1007/978-3-319-26989-4_12
https://doi.org/10.1007/978-3-319-26989-4_12
Publikováno v:
Future Generation Computer Systems. 17:387-396
In this paper, a new approach to scheduling of parallel and distributed algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of the global optimization criteria. For this purpose, agents — local de
Autor:
Agnieszka Mykowiecka, Jacek Koronacki, Malgorzata Marciniak, Sławomir T. Wierzchoń, Mieczyslaw A. Klopotek
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642386336
Language Processing and Intelligent Information Systems
Language Processing and Intelligent Information Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8a0d190357d6aac45bc1b48cfeb280f
https://doi.org/10.1007/978-3-642-38634-3
https://doi.org/10.1007/978-3-642-38634-3
Publikováno v:
Studies in Computational Intelligence ISBN: 9783642051760
Advances in Machine Learning I
Advances in Machine Learning I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e431e56fb93c6ff36ae582609b9f83ab
https://doi.org/10.1007/978-3-642-05177-7
https://doi.org/10.1007/978-3-642-05177-7
Publikováno v:
Bioinformatics and Biology Insights, Vol 4 (2010)
Bioinformatics and Biology Insights, Vol 2010, Iss 4, Pp 137-146 (2010)
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights, Vol 2010, Iss 4, Pp 137-146 (2010)
Bioinformatics and Biology Insights
Motivation Despite more than two decades of research, HIV resistance to drugs remains a serious obstacle in developing efficient AIDS treatments. Several computational methods have been developed to predict resistance level from the sequence of viral
Autor:
Jan Komorowski, Alvaro Rada-Iglesias, Stefan Enroth, Claes Wadelius, Michał Dramiński, Jacek Koronacki
Publikováno v:
Bioinformatics (Oxford, England). 24(1)
Motivation: Pre-selection of informative features for supervised classification is a crucial, albeit delicate, task. It is desirable that feature selection provides the features that contribute most to the classification task per se and which should
Autor:
Stan Matwin, Andrzej Skowron, Joost N. Kok, Raomon Lopez de Mantaras, Dunja Mladenic, Jacek Koronacki
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540749578
Machine Learning: ECML 2007
Machine Learning: ECML 2007
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5a18609338de7af618787312f66691c
https://doi.org/10.1007/978-3-540-74958-5
https://doi.org/10.1007/978-3-540-74958-5
Autor:
Joost N. Kok, Dunja Mladenic, Jacek Koronacki, Ramon Lopez de Mantaras, Andrzej Skowron, Stan Matwin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540749752
Knowledge Discovery in Databases: PKDD 2007
Knowledge Discovery in Databases: PKDD 2007
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f351398ff04efd7a0999caa3b16aece1
https://doi.org/10.1007/978-3-540-74976-9
https://doi.org/10.1007/978-3-540-74976-9
Publikováno v:
Advances in Soft Computing ISBN: 3540250565
Intelligent Information Systems
Intelligent Information Systems
In the paper, three conceptually simple but computer-intensive versions of an approach to selecting informative genes for classification are proposed. All of them rely on multiple construction of a tree classifier for many training sets randomly chos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c67a7c0f8938e34d2e5ae1eba6897cd1
https://doi.org/10.1007/3-540-32392-9_36
https://doi.org/10.1007/3-540-32392-9_36