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Tensor Nuclear Norm LPV Subspace Identification
IEEE Transactions on Automatic Control, 2018Linear parameter varying (LPV) subspace identification methods suffer from an exponential growth in number of parameters to estimate. This results in problems with ill-conditioning. In literature, attempts have been made to address the ill-conditioning by using regularization. Its effectiveness hinges on suitable a priori knowledge.
Bilal Gunes +2 more
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Nuclear Norm Regularized Randomized Neural Network
2016Extreme Learning Machine ELM or Randomized Neural Network RNN is a feedforward neural network where the network weights between the input and the hidden layer are not learned; they are assigned from some probability distribution. The weights between the hidden layer and the output targets are learnt.
Anupriya Gogna, Angshul Majumdar
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Authoritarian Regimes and Nuclear Nonproliferation Norms
2023Abstract Chapter 12 by Alexandros Tokhi offers an IR perspective on the development of nuclear non-proliferation and nuclear non-use norms which protect the fundamental values of international peace and security. Tokhi focuses on the challenge of authoritarian states’ non-compliance or behavioural contestation.
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Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Canyi Lu, Jiashi Feng, Yudong Chen
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The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table
Computer Physics Communications, 2018Michiel Jan van Setten +2 more
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