Using the Nonsmooth Analysis in a Learning Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F10%3A00177391" target="_blank" >RIV/68407700:21460/10:00177391 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/10:00355020
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Using the Nonsmooth Analysis in a Learning Process
Original language description
We propose an unconventional updating algorithm for weighting features for a classification task with abrupt changes of the error function. Using a so-called nonsmooth analysis we prove the quadratic convergence of such a learning process. For the dynamic optimization of the step size we use approach similar to Runge's method of a half step. Finally we demonstrate its classification abilities on artificial as well as on real-life classification tasks.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceeding of the 2010 IRAST International Congress on Computer Applications and Computational Science (CACS 2010)
ISBN
978-981-08-6846-8
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
—
Publisher name
International Research Alliance for Science and Technology (IRAST)
Place of publication
Long Island City
Event location
Singapur
Event date
Dec 4, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—