Results 101 to 110 of about 1,672 (130)

SymRefine: A symbolic regression approach for refining and compressing neural networks. [PDF]

Neurocomputing (Amst)
Wei W, Lu Q, Huang C, Lee D, Luo J.
europepmc   +1 more source

Exploring quantum annealing for coarse-grained protein folding. [PDF]

Sci Rep
Scheiber T, Heller M, Giebel A.
europepmc   +1 more source

TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment. [PDF]

Brief Bioinform
Han B, Zhang Y, Li L, Gong X, Xia K.
europepmc   +1 more source

Median Estimation with Quantile Transformations: Applications to Stratified Two-Phase Sampling. [PDF]

Entropy (Basel)
Almulhim FA, Aljohani HM.
europepmc   +1 more source

Commissioning and clinical implementation of low dose dual-field rotational TSET. [PDF]

J Appl Clin Med Phys
McCallum-Hee BI, Ibrahim M, Mukwada G, Rowshanfarzad P, Dass J, Dewitt J, Parin R, Withey G, Alkhatib Z.   +8 more
europepmc   +1 more source

Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis. [PDF]

J Med Internet Res
Idrissi-Yaghir A, Arzideh K, Schäfer H, Eryilmaz B, Bahn M, Wen Y, Borys K, Hartmann E, Schmidt C, Pelka O, Haubold J, Friedrich CM, Nensa F, Hosch R.   +13 more
europepmc   +1 more source

The Question Answering System on mathematical models (QAS): Description of the language

Computer Languages, 1978
The Question Answering System on mathematical models (QAS) is a very high-level computer language which enables the user to communicate with the computer at the level of mathematical models rather than at the level of sequential programs. Once the model (represented by a list of variables, list of equations and, optionally, additional information) is ...
Milos Konopasek, Christos Papaconstadopoulos   +1 more
openaire   +2 more sources

A mathematical framework for virtual IMRT QA using machine learning

Medical Physics, 2016
Purpose:It is common practice to perform patient‐specific pretreatment verifications to the clinical delivery of IMRT. This process can be time‐consuming and not altogether instructive due to the myriad sources that may produce a failing result. The purpose of this study was to develop an algorithm capable of predicting IMRT QA passing rates a priori ...
G, Valdes, R, Scheuermann, C Y, Hung, A, Olszanski, M, Bellerive, T D, Solberg   +5 more
openaire   +2 more sources

XREALISM® — Internal Mathematical–Philosophical & QA Expansion Set (8 Confidential Documents)

  // PREDECISION v4: Sigma-E dynamic stability   Ovaj skup sadrži osam povjerljivih XREALISM® dokumenata koji proširuju matematičku, filozofsku i operativnu definiciju kvintnog skoka, ΣE operatora, A-polja i ontologije stvarnosti, te uključuju i proširene QA / PoC inženjerske materijale.
openaire   +2 more sources

Advancing mathematics by guiding human intuition with AI

Nature, 2021
Nenad Tomašev, Geordie Williamson, Demis Hassabis   +2 more
exaly