Results 31 to 40 of about 545,363 (263)

Ensemble of SVMs for Incremental Learning [PDF]

, 2005
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetting phenomenon, which results in loss of previously learned information. Learn++ have recently been introduced as an incremental learning algorithm.
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak   +3 more
openaire   +2 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

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

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

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

Statistical Mechanics of Linear and Nonlinear Time-Domain Ensemble Learning

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

Predicting seismic-induced liquefaction through ensemble learning frameworks

Scientific Reports, 2019
The regional nature of liquefaction records and limited information available for a certain set of explanatories motivate the development of complex prediction techniques.
Mohammad H. Alobaidi, Mohamed A. Meguid, Fateh Chebana   +2 more
doaj   +1 more source

Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation

BMC Bioinformatics, 2021
Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that of normal ...
Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yen-Ming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho   +8 more
doaj   +1 more source