Results 21 to 30 of about 537,050 (171)

Surface Water Quality Classification via CMAES Ensemble Method

Jisuanji kexue yu tansuo, 2020
In order to improve the quality of people’s daily life, the government departments continue to strengthen water quality management. However, artificial classification method cannot meet the needs of real-time processing, additionally the classification ...
CHEN Xingguo, XU Xiuying, CHEN Kangyang, YANG Guang
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, E. Bauer, J. Demšar, J.H. Friedman, J.H. Friedman, L. Breiman, L. Rokach, Q. Sun, R. Bryll, Z.-H. Zhou, Z.H. Zhou   +10 more
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Bagging ensemble selection [PDF]

, 2011
Ensemble selection has recently appeared as a popular ensemble learning method, not only because its implementation is fairly straightforward, but also due to its excellent predictive performance on practical problems.
Pfahringer, Bernhard, Sun, Quan
core   +1 more source

Ensemble Learning for Free with Evolutionary Algorithms ? [PDF]

, 2007
Evolutionary Learning proceeds by evolving a population of classifiers, from which it generally returns (with some notable exceptions) the single best-of-run classifier as final result.
Gagné, Christian, Schoenauer, Marc, Sebag, Michèle, Tomassini, Marco   +3 more
core   +4 more sources

A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction

Applied Sciences, 2021
As vital comments on landslide early warning systems, accurate and reliable displacement prediction is essential and of significant importance for landslide mitigation.
Xiaoxu Niu, Junwei Ma, Yankun Wang, Junrong Zhang, Hongjie Chen, Huiming Tang   +5 more
doaj   +1 more source

Acting together: ensemble as a democratic process in art and life [PDF]

, 2009
Traditionally drama in schools has been seen either as a learning medium with a wide range of curricular uses or as a subject in its own right. This paper argues that the importance of drama in schools is in the processes of social and artistic ...
Bernstein B., Bhabha H., Boal A., Bourdieu P., Bourdieu P., Castoriadis C., Freire P., Greene M., Jonothan Neelands, Kempe A., Kolb D., Leadbeater C., Neelands J., Neelands J., Newman F., Orlik P., Ranciére J., Schechner R., Seltzer K., Tan S.   +19 more
core   +1 more source

Ensemble learning from ensemble docking: revisiting the optimum ensemble size problem [PDF]

Scientific Reports, 2022
AbstractDespite considerable advances obtained by applying machine learning approaches in protein–ligand affinity predictions, the incorporation of receptor flexibility has remained an important bottleneck. While ensemble docking has been used widely as a solution to this problem, the optimum choice of receptor conformations is still an open question ...
Sara Mohammadi, Zahra Narimani, Mitra Ashouri, Rohoullah Firouzi, Mohammad Hossein Karimi‐Jafari   +4 more
openaire   +3 more sources

Teachers’ Views: Using Body Music in Teaching and Learning Primary School Subjects

Center for Educational Policy Studies Journal
The paper presents research conducted among Turkish primary school classroom teachers regarding their personal and professional views about creating and using KeKeÇa body music games as educational tools.
Muzaffer Özgü Bulut, Ayşe Akarsu, Ersoy Karabay   +2 more
doaj   +1 more source

PEMBELAJARAN ANSAMBEL GESEK EKSTRAKURIKULER DI SMK METHODIST CHARLES WESLEY MEDAN

Grenek: Jurnal Seni Musik, 2018
This study is about the String Ensemble Learning in Extracurricular at SMK Methodist Charles Wesley Medan. The purpose of learning is to know the learning process of string ensemble extracurricular, knowing in teaching methods and materials string ...
Kevin Justinus Elwadi Simanjuntak
doaj   +1 more source

Statistical Mechanics of Time Domain Ensemble Learning

, 2006
Conventional ensemble learning combines students in the space domain. On the other hand, in this paper we combine students in the time domain and call it time domain ensemble learning.
Freund Y., Hara K., Inoue J. I., Krogh A., Maeda Y., Miyoshi S., Miyoshi S., Miyoshi S., Miyoshi S., Miyoshi S., Nishimori H., Saad D., Urbanczik R.   +12 more
core   +1 more source