Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Helge Gyllenberg"'
Publikováno v:
University of Helsinki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::56c42c7ea3b4a0a57bce5c113c4fe70f
http://hdl.handle.net/10138/42783
http://hdl.handle.net/10138/42783
Autor:
Helge Gyllenberg
Publikováno v:
Acta Pathologica Microbiologica Scandinavica. 44:293-298
Autor:
Gunnel Carlberg, Helge Gyllenberg
Publikováno v:
Acta Pathologica Microbiologica Scandinavica. 44:287-292
Autor:
Gunnel Carlberg, Helge Gyllenberg
Publikováno v:
Acta Pathologica Microbiologica Scandinavica. 42:380-384
Publikováno v:
Bulletin of Mathematical Biology. 61:85-111
In this paper we give a mathematically precise formulation of an old idea in bacterial taxonomy, namely cumulative classification, where the taxonomy is continuously updated and possibly augmented as new strains are identified. Our formulation is bas
Publikováno v:
Quantitative Microbiology. 1:7-28
We present a method for building systematics when new knowledge is continuously accumulated. The resulting classification is self-correcting and improves itself by sorting new items as they are added to the material and studied. The formulation is ba
Publikováno v:
Quantitative Microbiology. 1:157-170
We discuss the taxonomy of Enterobacteriaceae in the light of classification by minimization of stochastic complexity (SC). A classification which minimizes SC is optimal from the point of view of information theory. It was found that the SC-minimizi
Publikováno v:
Computer Methods and Programs in Biomedicine. 56:11-22
In this paper we propose a method of constructing a hierarchical classification based on the notion of stochastic complexity. Minimization of stochastic complexity amounts to maximization of the information content of the classification. A dendrogram
Publikováno v:
Microbiology. 143:721-732
A new method for classifying bacteria is presented and applied to a large set of biochemical data for the Enterobacteriaceae. The method minimizes the bits needed to encode the classes and the items or, equivalently, maximizes the information content
Autor:
T. Pehu, Helge Gyllenberg
Publikováno v:
Acta Biotechnologica. 10:7-11