Results 101 to 110 of about 9,313 (254)

The curse of dimensionality in motor cortex

Abstract Understanding how motor cortex generates movement is a foundational challenge in neuroscience [50]. Unsupervised dimensionality reduction techniques, such as principal component analysis (PCA), are widely used to transform high-dimensional neural data into a more interpretable, low-dimensional space [12].
Michael P Silvernagel, Alice Y Tor, Elizabeth J Jun, Stephen E Clarke, Robert Sutherland, Kenji Marshall, Yuxin Wu, Muhammad Abdulla, Nir Even-Chen, Paul Nuyujukian   +9 more
openaire   +2 more sources

The Blessing and Curse of Dimensionality in Safety Alignment

CoRR
Published as a conference paper at COLM ...
Rachel S. Y. Teo, Laziz U. Abdullaev, Tan M. Nguyen   +2 more
openaire   +2 more sources

A new approach to assessment for young children referred by education professionals for socio‐emotional, behavioural, and cognitive difficulties

JCPP Advances, EarlyView.
Abstract Background Young children with emerging mental health problems and neurodevelopmental differences often do not receive the support they need early in life, and if they do receive support, it may not be appropriately targeted towards their individual needs.
Amy L. Paine, Steve Eaton, Aikaterini Bekiropoulou, Christopher Hobson, Cerith Waters, Anita Thapar, Katherine H. Shelton, Kate Langley, Catherine R. G. Jones, Dale F. Hay, Susan R. Leekam, Elisabeth von dem Hagen, The Neurodevelopment Assessment Unit Team, Stephanie H. M. van Goozen   +13 more
wiley   +1 more source

Bridging Bystander Intervention and Workplace Inclusion: The Critical Role of Perceived Fairness, Support, and Safety

Journal of Organizational Behavior, EarlyView.
ABSTRACT Bystander intervention is widely assumed to foster workplace inclusion, yet no studies have directly examined this relationship. Through abductive qualitative analysis of 53 interviews across two contrasting organisations—a consulting firm and a remote mine site—we investigate how bystander intervention relates to workplace inclusion for ...
Laura Jennings, Kun Zhao, Liam Smith, Denise Goodwin, Nicholas Faulkner   +4 more
wiley   +1 more source

An Interdisciplinary Review of the Gaslighting Literature and Future Research Agenda

Journal of Organizational Behavior, EarlyView.
ABSTRACT Gaslighting is increasingly discussed in organizational contexts, yet its meaning, boundaries, and process remain unclear within management and organizational scholarship. Although research on gaslighting has expanded across multiple disciplines, existing work is conceptually fragmented and difficult to integrate, limiting cumulative theory ...
Paula A. Kincaid, Samantha C. O. Stalion
wiley   +1 more source

Unsupervised phenotyping of the periodontal architecture through high‐dimensional clustering of electronic health records: A multicenter study

Journal of Periodontology, EarlyView.
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley   +1 more source

Overcoming the curse of dimensionality in the numerical approximation of semilinear parabolic partial differential equations. [PDF]

Proc Math Phys Eng Sci, 2020
Hutzenthaler M, Jentzen A, Kruse T, Anh Nguyen T, von Wurstemberger P.   +4 more
europepmc   +1 more source

Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Fruit juice quality is regulated by European Union legislation; however, adulteration by adding cheaper alternatives, such as white grape juice, remains a prevalent issue. This practice constitutes economic fraud and poses health risks to consumers, including potential allergic reactions to the adulterant.
José Luis P Calle, Marta Ferreiro‐González, Miguel Palma   +2 more
wiley   +1 more source

Application of Support Vector Machines in High Power Device Technology

Kongzhi Yu Xinxi Jishu, 2018
As a machine learning algorithm, support vector machine(SVM) has the advantages of good nonlinear processing ability, theoretical global optimum and overcoming the curse of dimensionality.
RAO Wei, LI Yong, YAN Ji
doaj  

Correction: Rigid geometry solves "curse of dimensionality" effects in clustering methods: An application to omics data. [PDF]

PLoS One, 2020
Adachi S.
europepmc   +1 more source