Zobrazeno 1 - 7
of 7
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:
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:
Advances in Machine Learning II ISBN: 9783642051784
Advances in Machine Learning II
Advances in Machine Learning II
Applications of machine learning techniques in Life Sciences are the main applications forcing a paradigm shift in the way these techniques are used. Rather than obtaining the best possible supervised classifier, the Life Scientist needs to know whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a67205f033d5dab9f616ebc5d747fe5
https://doi.org/10.1007/978-3-642-05179-1_17
https://doi.org/10.1007/978-3-642-05179-1_17
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540659655
ISMIS
ISMIS
A heuristic method of model selection for a nonlinear regression problem on R 2 is proposed and discussed. The method is based on combining nonparametric statistical techniques for generalized additive models with an implementation of the Equation Fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acb486e82e01404582de85afcffdb925
https://doi.org/10.1007/bfb0095143
https://doi.org/10.1007/bfb0095143