Results 41 to 50 of about 9,083 (186)
Journal of Spectroscopy, 2019 In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-gamma ...
Hanane Arahmane +2 more
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Newton-based optimization for Kullback–Leibler nonnegative tensor factorizations [PDF]
Optimization Methods and Software, 2015 Clarified notation in section 3.1.1, and used simpler score() function in section B ...
Hansen, Samantha +2 more
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Kullback-Leibler Principal Component for Tensors is not NP-hard
, 2017 We study the problem of nonnegative rank-one approximation of a nonnegative tensor, and show that the globally optimal solution that minimizes the generalized Kullback-Leibler divergence can be efficiently obtained, i.e., it is not NP-hard.
Huang, Kejun, Sidiropoulos, Nicholas D.
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Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley +1 more source
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent [PDF]
ACM Transactions on Knowledge Discovery from Data, 2020 With the advancements in computing technology and web-based applications, data are increasingly generated in multi-dimensional form. These data are usually sparse due to the presence of a large number of users and fewer user interactions. To deal with this, the Nonnegative Tensor Factorization (NTF) based methods have been widely used. However existing
Balasubramaniam, Thirunavukarasu +3 more
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Researcher–Entrepreneur Relationship and Performance of Innovative Startups
International Journal of Finance &Economics, EarlyView.ABSTRACT Many innovative startups are joint ventures between researchers and entrepreneurs, who collaborate in R&D and product commercialization. Government policies such as grants, subsidies, and patent licensing fees act as Pigouvian subsidies, incentivizing R&D by bridging the gap between the social and private returns of innovation.
Yangguang Huang, Helen Hui
wiley +1 more source
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Existing tensor factorization methods assume that the input tensor follows some specific distribution (i.e. Poisson, Bernoulli, and Gaussian), and solve the factorization by minimizing some empirical loss functions defined based on the corresponding distribution.
Afshar, Ardavan +6 more
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User social influence analysis based on constrained nonnegative tensor factorization
Tongxin xuebao, 2016 Existing models for measuring user social influence fail to integrate both opinion and topic information.Therefore,a new constrained nonnegative tensor factorization method combining user’s opinion and the topical relevance was proposed.The method ...
Jing-jing WEI +4 more
doaj +2 more sources
Descent methods for Nonnegative Matrix Factorization [PDF]
, 2008 In this paper, we present several descent methods that can be applied to nonnegative matrix factorization and we analyze a recently developped fast block coordinate method called Rank-one Residue Iteration (RRI).
Blondel, Vincent D. +2 more
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Dictionary-based Tensor Canonical Polyadic Decomposition
, 2017 To ensure interpretability of extracted sources in tensor decomposition, we introduce in this paper a dictionary-based tensor canonical polyadic decomposition which enforces one factor to belong exactly to a known dictionary.
Cohen, Jérémy E., Gillis, Nicolas
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