Iterative splits of quadratic bounds for scalable binary tensor factorization

Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014

Volumn , Issue , 2014, Pages 192-199

  Ermis, Beyza ^a   Bouchard, Guillaume ^b  

^a BOGAZICI UNIVERSITY   (Turkey)

^b XEROX RESEARCH CENTRE EUROPE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ITERATIVE METHODS; MEAN SQUARE ERROR;

ALTERNATING LEAST SQUARES; APPROXIMATE ALGORITHMS; GREEDY ALGORITHMS; LINEAR TIME COMPLEXITY; LOW-RANK REPRESENTATIONS; QUADRATIC BOUND; ROOT MEAN SQUARE ERRORS; TENSOR FACTORIZATION;

TENSORS;

EID: 84923313033     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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