Machine Learning Using TIL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244039" target="_blank" >RIV/61989100:27240/20:10244039 - isvavai.cz</a>
Alternative codes found
RIV/47813059:19240/19:A0000684
Result on the web
<a href="https://ebooks.iospress.nl/publication/53709" target="_blank" >https://ebooks.iospress.nl/publication/53709</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/FAIA200024" target="_blank" >10.3233/FAIA200024</a>
Alternative languages
Result language
angličtina
Original language name
Machine Learning Using TIL
Original language description
In this paper we deal with machine learning methods and algorithms applied to the area of geographic data. First, we briefly introduce learning with a supervisor that is applied in our case. Then we describe the algorithm 'Framework' together with heuristic methods used in it. Definitions of particular geographic objects, i.e. their concepts, are formulated in our background theory Transparent Intensional Logic (TIL) as TIL constructions. These concepts serve as general hypotheses. Basic principles of supervised machine learning are generalization and specialization. Given a positive example, the learner generalizes, while after a nearmiss example specialization is applied. Heuristic methods deal with the way generalization and specialization are applied.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-23891S" target="_blank" >GA18-23891S: Hyperintensional Reasoning over Natural Language Texts</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Frontiers in Artificial Intelligence and Applications. Volume 321
ISBN
978-1-64368-044-6
ISSN
0922-6389
e-ISSN
—
Number of pages
19
Pages from-to
344-362
Publisher name
IOS Press
Place of publication
Amsterdam
Event location
Lappeenranta
Event date
Jun 3, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—