Zobrazeno 21 - 30
of 64
pro vyhledávání: '"Jacek Koronacki"'
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
Autor:
Jacek Koronacki, Jan Ćwik
Publikováno v:
Neural Computing & Applications. 4:149-160
A version of the Traven's [1] Gaussian clustering algorithm for normal mixture densities is studied. Unlike in the case of the Traven's algorithm, no constraints on covariance structure of mixture components are imposed. Simulations suggest that the
Autor:
Jacek Koronacki, U. Luboińska
Publikováno v:
Computational Statistics & Data Analysis. 18:317-330
Let X (1) ,..., X (m) be m independent, real-valued random variables with unknown densities and let Y = Ψ(X (1) ,...,X (m) ) be their known functional. The aim is to estimate the density of the random variable Y , given n independent realizations of
Autor:
Jacek Koronacki
Publikováno v:
Wiadomości Matematyczne. 46
Autor:
Jacek Koronacki, Jan Mielniczuk
Publikováno v:
Mathematica Applicanda. 38
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
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:
Jacek Koronacki, W. Feluch
Publikováno v:
Computational Statistics & Data Analysis. 13:143-151
In the note, a simple modification of the least-squares cross-validation criterion is proposed for choosing the bandwidth of kernel density estimators. For an i.i.d. sample X1, X2, …, Xn, the modification consists in leaving out a number of terms w
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