Results 241 to 250 of about 135,156 (283)

Enhancing Prediction by Incorporating Entropy Loss in Volatility Forecasting. [PDF]

Entropy (Basel)
Urniezius R, Petrauskas R, Vaitkus V, Karimov J, Brazauskas K, Repsyte J, Kacerauskiene E, Harms T, Dargiene J, Ezerskis D.   +9 more
europepmc   +1 more source

Machine learning model for fast prediction and uncertainty quantification of needle deflection during prostate biopsy. [PDF]

Med Phys
Hoffman N, Al-Zogbi L, Krieger A, Tokuda J, Moreira P, Fuge M.   +5 more
europepmc   +1 more source

Spatial Cluster Analysis and Key Influencing Factors of African Swine Fever in China (2018-2021). [PDF]

J Vet Sci
Wang L, Hassan LB, Toung OP, Li X.
europepmc   +1 more source

Postpandemic Recovery of Case Mix Index and Risk-Adjusted Mortality in US Hospitals.

JAMA Netw Open
DeRienzo C, Levine D, Jain S, Harris A.
europepmc   +1 more source

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Analysis of Online Learning During the Covid-19 Period using the Ordinary Least Square (OLS) Method

Pattimura International Journal of Mathematics (PIJMath), 2022
Education is the main capital to create quality human resources to face the challenges of the times that continue to develop rapidly. At the end of 2019, Indonesia experienced an outbreak of the COVID-19 pandemic. It makes learning activities carried out from home or online.
Wahyu Irianto, Muhammad Yahya Matdoan
openaire   +1 more source

Uji Asumsi Klasik untuk Menghindari Pelanggaran Asumsi Klasik pada Regresi Linier Ordinary Least Squares (OLS) dalam Ekonometrika

Jurnal Ilmiah Manajemen Ekonomi Dan Akuntansi (JIMEA), 2023
Regresi linier merupakan salah satu bagian dari ekonometrika, yang dilakukan untuk memprediksi hubungan antara variabel terikat dan variabel bebas dalam ekonomi. Hasil analisis regresi linier dapat berguna untuk menganalisis struktur dari suatu variabel atau fenomena ekonomi, meramalkan variabel atau fenomena ekonomi, dan merencanakan serta ...
null Fauziah Allysa Sabrina, null Wanda Vidya Nandita, null Dinda Dewi Maharani   +2 more
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Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS)

Neural Computing and Applications, 2011
A new optimized classification algorithm assembled by neural network based on Ordinary Least Squares (OLS) is established here. While recognizing complex high-dimensional data by neural network, the design of network is a challenge. Besides, single network model can hardly get satisfying recognition accuracy.
Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang Jin   +4 more
openaire   +1 more source