Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jacek Koronacki"'
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
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:
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
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:
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:
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