Results 21 to 30 of about 82,468 (189)
RolexBoost: A Rotation-Based Boosting Algorithm With Adaptive Loss Functions
IEEE Access, 2020 We propose a new ensemble algorithm, called RolexBoost (Rotation-Flexible AdaBoost) that can not only secure diversity within an ensemble by rotating the feature axes in conjunction with performing the random subspace method for each bootstrap sample ...
Dong-Hyuk Yang +2 more
doaj +1 more source
Gene set bagging for estimating replicability of gene set analyses [PDF]
, 2013 Background: Significance analysis plays a major role in identifying and ranking genes, transcription factor binding sites, DNA methylation regions, and other high-throughput features for association with disease.
Jaffe, Andrew E. +3 more
core +2 more sources
Airway pressure changes during "bag squeezing"
South African Journal of Physiotherapy, 1980 Pressure data during controlled ventilation on a ventilator, "bagging” and slow “bagging” are reviewed. The technique for effective “bagging” is suggested.
I. Hack, A. Katz, C. Eales
doaj +1 more source
Sensors, 2022 The performance of a six-axis force/torque sensor (F/T sensor) severely decreased when working in an extreme environment due to its sensitivity to ambient temperature. This paper puts forward an ensemble temperature compensation method based on the whale
Xuhao Li +5 more
doaj +1 more source
Indian Journal of Anaesthesia, 2010 Tight bag is a clinical situation where excessive pressure needs to be applied to a reservoir bag of a breathing system to an intubated patient, which may or may not produce satisfactory ventilation. The various clinical scenarios and the appropriate steps for its prevention are described.
S Parthasarathy, M Ravishankar
openaire +3 more sources
Two-Stage Bagging Pruning for Reducing the Ensemble Size and Improving the Classification Performance [PDF]
, 2019 Ensemble methods, such as the traditional bagging algorithm, can usually improve the performance of a single classifier. However, they usually require large storage space as well as relatively time-consuming predictions. Many approaches were developed to
Chen, Bi +4 more
core +2 more sources
Sensors, 2020 The distinction between subject-dependent and subject-independent performance is ubiquitous in the human activity recognition (HAR) literature. We assess whether HAR models really do achieve better subject-dependent performance than subject-independent ...
Sebastian Scheurer +3 more
doaj +1 more source
Bagging ensemble selection for regression [PDF]
, 2012 Bagging ensemble selection (BES) is a relatively new ensemble learning strategy. The strategy can be seen as an ensemble of the ensemble selection from libraries of models (ES) strategy. Previous experimental results on binary classification problems have
D.H. Wolpert +10 more
core +1 more source
Extrapolation method of precipitation nowcasting radar echo based on GCA-ConvLSTM prediction network
暴雨灾害, 2023 Precipitation nowcasting is of great significance for severe convective weather warning. Radar echo extrapolation is a commonly used precipitation nowcasting method.
Wei FANG +3 more
doaj +1 more source
Comparative Analysis of the Effect of Pre-Harvest Bagging and Non-Bagging Treatment on Fruit Quality of ‘Younai’ Plum by UPLC-MS/MS and GC-IMS [PDF]
Shipin Kexue, 2023 In this study, ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and gas chromatography-ion mobility spectrometry (GC-IMS) combined with multivariate statistical analysis were used to analyze the effect of pre-harvest ...
LIN Yanjuan, ZHOU Danrong, FANG Zhizhen, CHEN Wenguang, YE Xinfu
doaj +1 more source