Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jacek Koronacki"'
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, 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:
Jacek Koronacki
Publikováno v:
Mathematica Applicanda. 42
Coraz wiecej sygnalow wskazuje, ze zmienia sie stosunek spoleczności matematykow do wyzej wymienionej kwestii. Do niedawna stopnie naukowe i tytul naukowy z nauk matematycznych mialy byc przyznawane jedynie za tworczy wklad w rozwoj tej dziedziny. O
Autor:
Jacek Koronacki, Jan Ćwik
Publikováno v:
Computational Statistics & Data Analysis. 26:199-218
A multivariate extension of the plug-in kernel (and filtered kernel) estimator is proposed and this uses asymptotically optimal bandwidth matrix (matrices) for a normal mixture approximation of a density to be estimated (the filtered kernel estimator
Autor:
Jacek Koronacki, Jan Ćwik
Publikováno v:
Neural Computing & Applications. 6:173-185
This paper is a continuation of the authors' earlier work [1], where a version of the Traven's [2] Gaussian clustering neural network (being a recursive counterpart of the EM algorithm) has been investigated. A comparative simulation study of the Gau
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
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:
Jacek Koronacki
Publikováno v:
Journal of Statistical Planning and Inference. 30:137-139