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Optimizing Multi-Relational Factorization Models for Multip..:
, In:
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
,
Drumond, Lucas Rego
;
Diaz-Aviles, Ernesto
;
Schmidt-Thieme, Lars
. - p. 191-200 , 2014
Link:
https://dl.acm.org/doi/10.1145/2661829.2662052
RT T1
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
: T1
Optimizing Multi-Relational Factorization Models for Multiple Target Relations
UL https://suche.suub.uni-bremen.de/peid=acm-2662052&Exemplar=1&LAN=DE A1 Drumond, Lucas Rego A1 Diaz-Aviles, Ernesto A1 Schmidt-Thieme, Lars A1 Nejdl, Wolfgang PB ACM YR 2014 K1 factorization models K1 relational learning K1 statistical inference K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Document filtering K1 Information extraction K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Markov decision processes K1 Learning paradigms K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory SP 191 OP 200 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2661829.2662052 DO https://dl.acm.org/doi/10.1145/2661829.2662052 SF ELIB - SuUB Bremen
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