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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
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
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
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
Autor:
Jacek Koronacki, Andrzej Sierociński
Publikováno v:
Mathematica Applicanda. 14
Autor:
Jacek Koronacki
Publikováno v:
Mathematica Applicanda. 11
Autor:
Jacek Koronacki, W. Wertz
Publikováno v:
Mathematica Applicanda. 13
In the paper a survey of the asymptotic theory of recursive estimation of probability densities is given. Stress is laid on pointwise properties. In particular, asymptotic unbiasedness and consistency under possibly minimal assumptions and the rates
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
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