Title:

Towards Handling Uncertainty in Prognostic Scenarios: Advanced Learning from the Past

Subtitle:

Raport Badawczy = Research Report ; RB/26/2016

Creator:

Jarnicka, Jolanta ; Jonas, Matthias ; Żebrowski, Piotr

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2016

Description:

95 pages ; 21 cm ; Bibliography p. 94-95

Subject and Keywords:

Niepewność ; Emisja gazów cieplarnianych ; Uncertainty ; Greenhouse gas emissions ; Learning ; Uczenie się ; Explainable outreach ; Zasięg wytłumaczalny

Abstract:

This report proposes a method of learning in a controlled prognostic context which is based on polynomial regression technique. A polynomial regression model is used to grasp the system 's dynamic revealed by the sample of historical observations, while the explainable outreach is constructed around the extrapolated regression function. The proposed learning method was tested on various sets of synthetic data in order to identify its strengths and weaknesses, formulate guidelines for its practical application.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2016-26

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