Zobrazeno 1 - 6
of 6
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
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
Publikováno v:
Pattern Recognition. 38:241-250
We propose a new algorithm for positron emission tomography (PET) image reconstruction. The algorithm belongs to the family of Markov chain Monte Carlo methods with auxiliary variables. The idea is to iteratively generate hidden variables at one step
Publikováno v:
Future Generation Computer Systems. 17:387-396
In this paper, a new approach to scheduling of parallel and distributed algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of the global optimization criteria. For this purpose, agents — local de
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