Zobrazeno 1 - 10
of 12
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
Externí odkaz:
https://doaj.org/article/4e0434a1ee904e1c82b815b70a9ad043
Autor:
Michał Dramiński, Jacek Koronacki
Publikováno v:
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
Externí odkaz:
https://doaj.org/article/a8b7e3f9c1cb486bbf56e034eeaf995e
Publikováno v:
Bioinformatics and Biology Insights, Vol 2010, Iss 4, Pp 137-146 (2010)
Externí odkaz:
https://doaj.org/article/175956a4323a44fa992faba8f0bb61f8
Autor:
Marcin Kierczak, Krzysztof Ginalski, Michał Dramiński, Jacek Koronacki, Witold Rudnicki, Jan Komorowski
Publikováno v:
Bioinformatics and Biology Insights, Vol 2009, Iss 3, Pp 109-127 (2009)
Reverse transcriptase (RT) is a viral enzyme crucial for HIV-1 replication. Currently, 12 drugs are targeted against the RT. The low fidelity of the RT-mediated transcription leads to the quick accumulation of drug-resistance mutations. The sequence-
Externí odkaz:
https://doaj.org/article/934494f5f17f4667bfbb68ab2f8dd165
Publikováno v:
Bioinformatics and Biology Insights, Vol 4 (2010)
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
Externí odkaz:
https://doaj.org/article/19db0373fa654a7bb05f128ae87632d5
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:
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