Results 231 to 240 of about 12,931,660 (289)

Automatic segmentation of ameloblastoma on ct images using deep learning with limited data. [PDF]

BMC Oral Health
Xu L, Qiu K, Li K, Ying G, Huang X, Zhu X.   +5 more
europepmc   +1 more source

The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning. [PDF]

Intensive Care Med Exp
Hannon DM, Syed JDA, McNicholas B, Madden M, Laffey JG.   +4 more
europepmc   +1 more source

Regularized regression can improve estimates of multivariate selection in the face of multicollinearity and limited data. [PDF]

Evol Lett
Sztepanacz JL, Houle D.
europepmc   +1 more source

Accurate Prediction of Ion Mobility Collision Cross-Section Using Ion's Polarizability and Molecular Mass with Limited Data. [PDF]

J Chem Inf Model
Wisanpitayakorn P, Sartyoungkul S, Kurilung A, Sirivatanauksorn Y, Visessanguan W, Sathirapongsasuti N, Khoomrung S.   +6 more
europepmc   +1 more source

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ON DATA LIMITATIONS IN HYPERACTIVITY

Journal of Child Psychology and Psychiatry, 1985
SUMMARY Three groups of children rated firstly as overactive and distractible, secondly as distractible and thirdly as low on both activity and distractibility were examined in a visual search task with three levels of display load: two, three and four items.
Sergeant, J.A., Scholten, C.A.
openaire   +2 more sources

Health data standards’ limitations

2022
Data represent foundational assets of any healthcare delivery system. Clinical data form the basis of electronic communications from point of data collection to storage and archiving. Computers cannot handle ambivalence, hence the need for the widespread adoption of technical and terminology standards.
Hovenga, Evelyn, Grain, Heather
openaire   +3 more sources

On data-limited and resource-limited processes

Cognitive Psychology, 1975
Abstract This paper analyzes the effect on performance when several active processes compete for limited processing resources. The principles discussed show that conclusions about the interactions among psychological processes must be made with caution, and some existing assumptions may be unwarranted.
Donald A Norman, Daniel G Bobrow
openaire   +1 more source

Pushing the Limits of Learning from Limited Data

Proceedings of the AAAI Symposium Series, 2023
What is the mechanism behind people's remarkable ability to learn from very little data, and what are its limits? Preliminary evidence suggests people can infer categories from extremely sparse data, even when they have fewer labeled examples than categories. However, the mechanisms behind this learning process are unclear.
Maya Malaviya, Ilia Sucholutsky, Thomas L. Griffiths   +2 more
openaire   +1 more source