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| Title: | Adaptive Skip-Train Structured Regression for Temporal Networks | Authors: | Pavlovski, Martin; Zhou, Fang; Stojkovic, Ivan; Kocarev, Ljupco; Obradovic, Zoran | Issue Date: | 2017 | Publication: | MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT II | ISSN: | 0302-9743 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Search Idenfier |
Type: | Conference Paper | Collation: | vol. 10535 str. 305-321 | DOI: | 10.1007/978-3-319-71246-8_19 | WoS-ID: | 000443110500019 | Scopus-ID: | 2-s2.0-85040258679 | URI: | https://enauka.gov.rs/handle/123456789/818340 | Project: | DARPA [FA9550-12-1-0406] National Science Foundation [NSF-SES-1447670, NSF-IIS-1636772] Temple University Data Science Targeted Funding Program NSF [CNS-1625061] Pennsylvania Department of Health CURE grant ONR/ONR Global [N62909-16-1-2222] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | Mp. category will be shown later |
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