Evolutionary algorithms (EA), a class of stochastic search methods based...
The decision tree ensembles use a single data feature at each node for
s...
An efficient team is essential for the company to successfully complete ...
Reinforcement Learning (RL) has emerged as a highly effective technique ...
Electroencephalogram (EEG) signals are complex, non-linear, and
non-stat...
Neural networks have been successfully employed in various domain such a...
Knowledge tracing is the task of predicting a learner's future performan...
The integration of Vector Quantised Variational AutoEncoder (VQ-VAE) wit...
An ensemble of decision trees is known as Random Forest. As suggested by...
Electricity load forecasting is crucial for the power systems' planning ...
Ensemble learning combines several individual models to obtain better
ge...
Extreme learning machine (ELM), which can be viewed as a variant of Rand...
In this paper, we propose a deep learning framework based on randomized
...
Both neural networks and decision trees are popular machine learning met...