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An Efficient Alternating Newton Method for Learning Factori..:

Chin, Wei-Sheng ; Yuan, Bo-Wen ; Yang, Meng-Yuan.
ACM Transactions on Intelligent Systems and Technology (TIST). 9 (2018) 6 - p. 1-31 , 2018

Link: https://dl.acm.org/doi/10.1145/3230710

RT Journal
T1 <Title>An Efficient Alternating Newton Method for Learning Factorization Machines</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3230710&Exemplar=1&LAN=DE
				
A1 Chin, Wei-Sheng
A1 Yuan, Bo-Wen
A1 Yang, Meng-Yuan
A1 Lin, Chih-Jen
PB ACM
YR 2018
SN 2157-6904
SN 2157-6912
K1 Newton methods
K1 preconditioned conjugate gradient methods
K1 subsampled Hessian matrix
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Factorization methods
K1 Factor analysis
K1 Learning latent representations
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Mathematics of computing
K1 Mathematical analysis
K1 Mathematical optimization
K1 Continuous optimization
K1 Nonconvex optimization
K1 Information systems
K1 Information systems applications
K1 Data mining
K1 Collaborative filtering
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Parallel algorithms
K1 Shared memory algorithms
JF ACM Transactions on Intelligent Systems and Technology (TIST)
VO 9
IS 6
SP 1
OP 31
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3230710
DO https://dl.acm.org/doi/10.1145/3230710
SF ELIB - SuUB Bremen

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