Subtitle:

Książka = Book ; KS/1/2002/P20

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[1-2], 325-338 pages ; 21 cm ; Bibliography p. 336-338

Type of object:

Book/Chapter

Abstract:

The paper deals with one of the toughest problems in data analysis: given a set of observations we suppose they were generated by a set of different processes, to which different models correspond. We must, therefore, simultaneously split the set of observation into subsets corresponding to different models, and identify these models. In this formulation the problem has not found any satisfactory solution to date, except for the very special cases ( single dimension or "brute force" applicability). The paper presents the questions encountered, some formulations and approaches used, and a positive proposal for at least one of the aspects of the overall problem, related to the objective Junction, which displays the feature of globality, that is - implication of a globally optimal solution to the problem. For the sake of shortness the respective problems and issues will just be signalled, with the detailed considerations left to more technical publications.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:206703

Source:

KS-2002-01-P20

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open