Results 21 to 30 of about 81,992 (268)

A Temperature Compensation Method for aSix-Axis Force/Torque Sensor Utilizing Ensemble hWOA-LSSVM Based on Improved Trimmed Bagging

open access: yesSensors, 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

Two-Stage Bagging Pruning for Reducing the Ensemble Size and Improving the Classification Performance [PDF]

open access: yes, 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

Tight bag

open access: yesIndian 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

Bagging Predictors [PDF]

open access: yesMachine Learning, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Comparing Person-Specific and Independent Models on Subject-Dependent and Independent Human Activity Recognition Performance

open access: yesSensors, 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

Multi-TGDR: a regularization method for multi-class classification in microarray experiments [PDF]

open access: yes, 2013
Background With microarray technology becoming mature and popular, the selection and use of a small number of relevant genes for accurate classification of samples is a hot topic in the circles of biostatistics and bioinformatics.
Suárez-Fariñas, Mayte, Tian, Suyan
core   +7 more sources

Extrapolation method of precipitation nowcasting radar echo based on GCA-ConvLSTM prediction network

open access: yes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]

open access: yesShipin 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

Phoneme and sentence-level ensembles for speech recognition [PDF]

open access: yes, 2011
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the phoneme level and one at the utterance level, with a phoneme-level bagging ...
Bengio, Samy, Dimitrakakis, Christos
core   +3 more sources

Bagging ensemble selection for regression [PDF]

open access: yes, 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

Home - About - Disclaimer - Privacy