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Parameter Identifiability in Statistical Machine Learning: A Review: Parameter identifiability in statistical machine learning: a review

• Authors : Zhi-Yong Ran; Bao-Gang Hu

Subjects: Research exposition (monographs, survey articles) pertaining to computer science; Learning and adaptive systems in artificial intelligence; 0202 electrical engineering, electronic engineering, information engineering

• Source: Neural Computation. 29:1151-1203

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Reconstructing brain functional networks through identifiability and deep learning

• Authors : Zanin, Massimiliano; Aktürk, Tuba; Yıldırım, Ebru ...

Subjects: Parkinson’s disease; Alzheimer’s disease; Deep learning

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Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions.

• Authors : Carreira-Perpi?an, Miguel A.; Renals, Steve

• Source: Neural Computation. Jan2000, Vol. 12 Issue 1, p141-152. 12p. 1 Graph.

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Challenges and Opportunities for Statistics in the Era ofData Science

• Authors : Kirch, Claudia; Lahiri, Soumendra; Binder, Harald

Subjects: Science & Technology; Technology; Physical Sciences

• Source: ISSN:2688-8513 ; ISSN:2644-2353 ; Harvard Data Science Review, vol. 7 (2), Art.No. ARTN ufaltur6.

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Permutation estimation and minimax rates of identifiability

• Authors : Collier, Olivier; Dalalyan, Arnak S.;

Subjects: permutation estimation; minimax; Gaussian sequence model

• Source: JMLR ; https://enpc.hal.science/hal-00787916 ; JMLR, 2013, 31, pp.10-19

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Learning a High-dimensional Linear Structural Equation Model via l(1)-Regularized Regression ; Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression

• Authors : Park, Gunwoong; Moon, Sang Jun; Park, Sion ...

Subjects: CAUSAL DISCOVERY; IDENTIFIABILITY; NETWORKS

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Functional connectome fingerprinting across the lifespan

• Authors : St-Onge, Frédéric; Javanray, Mohammadali; Binette, Alexa Pichet ...

Subjects: Medical and Health Sciences; Clinical Medicine; Neurology

• Source: Network Neuroscience. 7(3):1206-1227

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Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs.

• Authors : Xu, Wenkai¹ (AUTHOR) ; Niu, Gang² (AUTHOR) ; Hyvärinen, Aapo³ (AUTHOR)

• Source: Neural Computation. Aug2021, Vol. 33 Issue 8, p2128-2162. 35p. 1 Color Photograph, 2 Diagrams, 3 Charts, 5 Graphs.

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Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks.

• Authors : Menchero, A.¹ ; Diez, R. Montes¹ ; Insua, D. Ríos¹

• Source: Neural Computation. Feb2005, Vol. 17 Issue 2, p453-485. 33p.

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Simultaneous Estimation of Nongaussian Components and Their Correlation Structure.

• Authors : Hiroaki Sasaki¹ ; Gutmann, Michael U.² ; Hayaru Shouno³

• Source: Neural Computation. Nov2017, Vol. 29 Issue 11, p2887-2924. 38p. 5 Color Photographs, 2 Black and White Photographs, 3 Graphs.

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