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08/25/2023
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Evolutionary algorithms (EA), a class of stochastic search methods based...
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04/13/2023
Heterogeneous Oblique Double Random Forest
The decision tree ensembles use a single data feature at each node for s...
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04/08/2023
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching
An efficient team is essential for the company to successfully complete ...
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03/05/2023
Ensemble Reinforcement Learning: A Survey
Reinforcement Learning (RL) has emerged as a highly effective technique ...
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03/14/2022
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance
Electroencephalogram (EEG) signals are complex, non-linear, and non-stat...
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02/13/2022
Random vector functional link network: recent developments, applications, and future directions
Neural networks have been successfully employed in various domain such a...
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01/07/2022
Incremental Knowledge Tracing from Multiple Schools
Knowledge tracing is the task of predicting a learner's future performan...
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12/03/2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
The integration of Vector Quantised Variational AutoEncoder (VQ-VAE) wit...
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11/03/2021
Oblique and rotation double random forest
An ensemble of decision trees is known as Random Forest. As suggested by...
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07/30/2021
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Electricity load forecasting is crucial for the power systems' planning ...
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04/06/2021
Ensemble deep learning: A review
Ensemble learning combines several individual models to obtain better ge...
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10/04/2019
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification
Extreme learning machine (ELM), which can be viewed as a variant of Rand...
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06/30/2019
Random Vector Functional Link Neural Network based Ensemble Deep Learning
In this paper, we propose a deep learning framework based on randomized ...
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02/05/2018
