Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 68
Kratki znanstveni prispevek
Oznake: remote engineering;virtual instrumentation;future trends;
A joint master program in remote engineering
Leto: 2006 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Video in druga učna gradiva
Oznake: science;cognitive science;scientific projects;computer science;machine learning
One of the aspirations of machine learning is to develop intelligent systems that can address a wide variety of control problems of many different types. However, although the community has developed successful technologies for many individual problems, these technologies have not previously been in ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;business;small and medium enterprises (smes);science;scientific projects;scientific research;social sciences;society;information society;politics;internet, world wide web
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;semantic web
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;semantic web
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;semantic web
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;semantic web;ontologies
Leto: 2006 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;semantic web;databases
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science
While intrinsically motivated learning agents hold considerable promise to overcome limitations of more supervised learning systems, quantitative evaluation and theoretical analysis of such agents are difficult. We propose to consider a restricted setting for autonomous learning where systematic eva ...
Leto: 2013 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;reinforcement learning
One of the striking differences between current reinforcement learning algorithms and early human learning is that animals and infants appear to explore their environments with autonomous purpose, in a manner appropriate to their current level of skills. For analysing such autonomous exploration the ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 68
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