Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Jacek Koronacki"'
Autor:
Jacek Koronacki
Publikováno v:
Filozofia i Nauka, Vol 8, Iss 1, Pp 9-29 (2020)
This is a modest endeavour written from an engineering perspective by a non- philosopher to set things straight if somewhat roughly: What does artificial intelli- gence boil down to? What are its merits and why some dangers may stem from its developm
Externí odkaz:
https://doaj.org/article/4e0434a1ee904e1c82b815b70a9ad043
Autor:
Michał Dramiński, Jacek Koronacki
Publikováno v:
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
Externí odkaz:
https://doaj.org/article/a8b7e3f9c1cb486bbf56e034eeaf995e
Publikováno v:
Bioinformatics and Biology Insights, Vol 2010, Iss 4, Pp 137-146 (2010)
Externí odkaz:
https://doaj.org/article/175956a4323a44fa992faba8f0bb61f8
Autor:
Marcin Kierczak, Krzysztof Ginalski, Michał Dramiński, Jacek Koronacki, Witold Rudnicki, Jan Komorowski
Publikováno v:
Bioinformatics and Biology Insights, Vol 2009, Iss 3, Pp 109-127 (2009)
Reverse transcriptase (RT) is a viral enzyme crucial for HIV-1 replication. Currently, 12 drugs are targeted against the RT. The low fidelity of the RT-mediated transcription leads to the quick accumulation of drug-resistance mutations. The sequence-
Externí odkaz:
https://doaj.org/article/934494f5f17f4667bfbb68ab2f8dd165
Publikováno v:
Bioinformatics and Biology Insights, Vol 4 (2010)
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
Externí odkaz:
https://doaj.org/article/19db0373fa654a7bb05f128ae87632d5
Publikováno v:
Information Sciences. 330:74-87
Dimensionality reduction that preserves certain characteristics of data is needed for numerous reasons. In this work we focus on data coming from a mixture of Gaussian distributions and we propose a method that preserves the distinctness of the clust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6982713cd513f07882380aea0f2b5c23
https://doi.org/10.1016/j.ins.2015.10.009
https://doi.org/10.1016/j.ins.2015.10.009
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed9b0d6389052fd23b5cec8d72f8705
https://doi.org/10.18637/jss.v085.i12
https://doi.org/10.18637/jss.v085.i12
Autor:
Bartosz Wojtas, Jacek Koronacki, Michal J. Dabrowski, Jan Komorowski, Klev Diamanti, Karolina Stepniak, Magdalena A. Mozolewska, Bozena Kaminska, Paweł Teisseyre, Michał Dramiński
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
In order to find clinically useful prognostic markers for glioma patients’ survival, we employed Monte Carlo Feature Selection and Interdependencies Discovery (MCFS-ID) algorithm on DNA methylation (HumanMethylation450 platform) and RNA-seq dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11af300ac96801f2348ca4ab27dbd3b8
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-350614
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-350614
Publikováno v:
Applied Mathematics and Computation. 256:591-601
There are numerous measures designed to evaluate quality of a given data grouping in terms of its distinctness and between-cluster separation. However, there seems to be no efficient method to assess distinctness of the intrinsic structure within dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9bd75d08f78d5e38ead44208876f7ea
https://doi.org/10.1016/j.amc.2014.12.038
https://doi.org/10.1016/j.amc.2014.12.038
Autor:
Jan Komorowski, Jakub Mieczkowski, Marcin Kruczyk, Nicholas Baltzer, Michał Dramiński, Jacek Koronacki
Publikováno v:
Fundamenta Informaticae. 127:273-288
An important step prior to constructing a classifier for a very large data set is feature selection. With many problems it is possible to find a subset of attributes that have the same discriminative power as the full data set. There are many feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6facfba38df745af7ce3cbbb905ae60c
https://doi.org/10.3233/fi-2013-909
https://doi.org/10.3233/fi-2013-909