
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:contributor>Milutinović, Veljko. 1951-</dc:contributor>
  <dc:contributor>Nikolić, Boško, 1972-</dc:contributor>
  <dc:contributor>Mitić, Nenad, 1959-</dc:contributor>
  <dc:rights>http://creativecommons.org/licenses/by-nc-nd/2.0/at/legalcode</dc:rights>
  <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
  <dc:subject xml:lang="srp">OSNO - Opšta sistematizacija naučnih oblasti, Veštačka inteligencija. Robotika</dc:subject>
  <dc:subject xml:lang="eng">OSNO - Opšta sistematizacija naučnih oblasti, Veštačka inteligencija. Robotika</dc:subject>
  <dc:date>2018</dc:date>
  <dc:language>srp</dc:language>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:18771</dc:identifier>
  <dc:identifier>cobiss:50637583</dc:identifier>
  <dc:identifier>thesis:6185</dc:identifier>
  <dc:format>105 listova</dc:format>
  <dc:format>13452780 bytes</dc:format>
  <dc:description xml:lang="srp">Struktuirano ucenje je oblast koja se bavi ucenjem složenih objekata iz složenih
(struktuiranih) podataka...</dc:description>
  <dc:description xml:lang="eng">Structured learning is an area that deals with the learning of complex objects from
complex (structured) data. Structured data, in this context, represent data that consists
of several interdependent parts. Structured learning is an important segment
of machine learning, and is an active research topic with numerous unsolved problems.
Applications that heavily utilize this kind of learning include textual, signal
processing (audio, image and video), social, biomedical (genetic, healthcare), and
many other...</dc:description>
  <dc:description xml:lang="srp">Elektrotehnika / Electrical
 Datum odbrane: 05.07.2018. </dc:description>
  <dc:creator>Jelisavčić, Vladisav, 1987-</dc:creator>
  <dc:title xml:lang="srp">Strukturirano učenje nad velikim podacima zasnovano na verovatnosnim grafovskim modelima : doktorska disertacija</dc:title>
</oai_dc:dc>