Results 31 to 40 of about 185,151 (349)

Distributional Reinforcement Learning with Ensembles

Algorithms, 2020
It is well known that ensemble methods often provide enhanced performance in reinforcement learning. In this paper, we explore this concept further by using group-aided training within the distributional reinforcement learning paradigm. Specifically, we propose an extension to categorical reinforcement learning, where distributional learning targets ...
Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl   +2 more
openaire   +5 more sources

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

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

Bagging ensemble selection

, 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.
Quan Sun, Pfahringer, Bernhard, Bernhard Pfahringer, Sun, Quan   +3 more
core   +1 more source

Bagging ensemble selection for regression

, 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
Quan Sun, Pfahringer, Bernhard, Bernhard Pfahringer, Sun, Quan   +3 more
core   +1 more source

Random projections as regularizers: learning a linear discriminant ensemble from fewer observations than dimensions

, 2013
We examine the performance of an ensemble of randomly-projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observations than data dimensions.
Kabán, Ata, Durrant, Robert J.
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

AbdulrhmnGhanem/Leveraging-Cross-View-Geo-Localization-With-Ensemble-Learning-And-Temporal-Awareness: First public release

, 2023
The code for the Leveraging Cross-View Geo-Localization With Ensemble Learning And Temporal Awareness ...
Ghanem
core   +1 more source