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Collaborative matrix factorization with multiple similariti..:

, In: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining,

Zheng, Xiaodong ; Ding, Hao ; Mamitsuka, Hiroshi. - p. 1025-1033 , 2013

Link: https://dl.acm.org/doi/10.1145/2487575.2487670

RT 
T1 <cTitle>Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining</cTitle>: T1 <Title>Collaborative matrix factorization with multiple similarities for predicting drug-target interactions</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2487670&Exemplar=1&LAN=DE
				
A1 Zheng, Xiaodong
A1 Ding, Hao
A1 Mamitsuka, Hiroshi
A1 Zhu, Shanfeng
PB ACM
YR 2013
K1 chemoinformatics
K1 drug-target interaction
K1 multiple types of similarities over drug and targets
K1 weighted low-rank approximation
K1 Mathematics of computing
K1 Mathematical analysis
K1 Functional analysis
K1 Approximation
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Machine learning approaches
K1 Markov decision processes
K1 Learning settings
K1 Theory and algorithms for application domains
K1 Machine learning theory
SP 1025
OP 1033
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2487575.2487670
DO https://dl.acm.org/doi/10.1145/2487575.2487670
SF ELIB - SuUB Bremen

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