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Applied Science & Technology Full Text (H.W. Wilson)

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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.

• Authors : Xie, Zeke (AUTHOR); He, Fengxiang (AUTHOR); Fu, Shaopeng (AUTHOR)

Subjects: MEMORIZATION; ARTIFICIAL neural networks; DEEP learning

• Source: Neural Computation. Aug2021, Vol. 33 Issue 8, p2163-2192. 30p. 1 Chart, 13 Graphs.

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Education Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Generative Quantile Regression with Variability Penalty.

• Authors : Wang, Shijie (AUTHOR); Shin, Minsuk (AUTHOR); Bai, Ray (AUTHOR)

Subjects: CONDITIONED response; DEEP learning; QUANTILE regression

• Source: Journal of Computational & Graphical Statistics. Oct-Dec2024, Vol. 33 Issue 4, p1202-1213. 12p.

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Automatic soft-tissue analysis on orthodontic frontal and lateral facial photographs based on deep learning.

• Authors : Chang Q; Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing, China.; Bai Y

Subjects: Deep Learning* ; Face*/Face*/Face*/anatomy & histology ; Face*/Face*/Face*/diagnostic imaging

• Source: Orthodontics & craniofacial research [Orthod Craniofac Res] 2024 Dec; Vol. 27 (6), pp. 893-902. Date of Electronic Publication: 2024 Jul 05.Publisher: Blackwell Munksgaard Country of Publication: England NLM ID: 101144387 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Traversing chemical space with active deep learning for low-data drug discovery.

• Authors : van Tilborg D; Institute for Complex Molecular Systems (ICMS), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.; Centre for Living Technologies, Alliance TU/e, WUR, UU, UMC Utrecht, Utrecht, The Netherlands.

Subjects: Drug Discovery*/Drug Discovery*/Drug Discovery*/methods ; Deep Learning*; Small Molecule Libraries/Small Molecule Libraries/Small Molecule Libraries/pharmacology

• Source: Nature computational science [Nat Comput Sci] 2024 Oct; Vol. 4 (10), pp. 786-796. Date of Electronic Publication: 2024 Sep 27.Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization.

• Authors : Squadrani, Lorenzo; Curti, Nico; Giampieri, Enrico

Subjects: ARTIFICIAL neural networks; MEMORIZATION; DEEP learning

• Source: Entropy; May2022, Vol. 24 Issue 5, pN.PAG-N.PAG, 12p

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Applied Science & Technology Full Text (H.W. Wilson)

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GrapHD: Graph-Based Hyperdimensional Memorization for Brain-Like Cognitive Learning.

• Authors : Poduval, Prathyush; Alimohamadi, Haleh; Zakeri, Ali

Subjects: COGNITIVE learning; MEMORIZATION; COGNITIVE computing

• Source: Frontiers in Neuroscience; 2/4/2022, Vol. 16, p1-20, 20p

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