Results 31 to 40 of about 81,992 (268)
The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting
Forecasting, 2021 Forecasting is a challenging task that typically requires making assumptions about the observed data but also the future conditions. Inevitably, any forecasting process will result in some degree of inaccuracy.
Fotios Petropoulos, Evangelos Spiliotis
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Peak Bagging of red giant stars observed by Kepler: first results with a new method based on Bayesian nested sampling [PDF]
, 2015 The peak bagging analysis, namely the fitting and identification of single oscillation modes in stars' power spectra, coupled to the very high-quality light curves of red giant stars observed by Kepler, can play a crucial role for studying stellar ...
Corsaro, Enrico, De Ridder, Joris
core +2 more sources
Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques
Journal of ICT Research and Applications, 2022 Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate future building ...
Marsa Thoriq Ahmada, Saiful Akbar
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Компьютерная оптика, 2020 An abstract model of an artificial immune network (AIS) based on a classifier committee and robust learning algorithms (with and without a teacher) for classification problems, which are characterized by small volumes and low representativeness of ...
A.E. Sulavko
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Applying Machine Learning Techniques to the Audit of Antimicrobial Prophylaxis
Applied Sciences, 2022 High rates of inappropriate use of surgical antimicrobial prophylaxis were reported in many countries. Auditing the prophylactic antimicrobial use in enormous medical records by manual review is labor-intensive and time-consuming.
Zhi-Yuan Shi +4 more
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The Effect of DNA Methylation on the Depth of Peel Color in ‘Red Fuji’
HorticulturaeRed pigmentation in apple peel significantly contributes to its commercial value, and bagging treatment contributes to enhancing red coloration in fruits. However, the regulatory mechanisms underlying bagging-induced coloration remain largely unexplored.
Yucheng Liu, Jingyi Su, Wensheng Li
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Peningkatan Ketepatan Klasifikasi dengan Metode Bootstrap Aggregating pada Regresi Logistik Ordinal
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, 2019 Baby's birth weight is influenced by characteristics of pregnant women such as age, parity, education level, pregnancy visit, and gestational age. Classification of the birth weight of a baby is grouped into several groups, namely low birth weight ...
I Ketut Putu Suniantara +2 more
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The Inverse Bagging Algorithm: Anomaly Detection by Inverse Bootstrap Aggregating [PDF]
, 2016 For data sets populated by a very well modeled process and by another process of unknown probability density function (PDF), a desired feature when manipulating the fraction of the unknown process (either for enhancing it or suppressing it) consists in ...
Dorigo, Tommaso, Vischia, Pietro
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Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source