Search alternatives:
design optimization » bayesian optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
design optimization » bayesian optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
-
121
Results of Lightbgm.
Published 2024“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”
-
122
Feature selection process.
Published 2024“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”
-
123
Results of KNN.
Published 2024“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”
-
124
After upsampling.
Published 2024“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”
-
125
Results of Extra tree.
Published 2024“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”
-
126
Gradient boosting classifier results.
Published 2024“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”
-
127
Comparison of intrusion detection systems.
Published 2023“…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
-
128
-
129
-
130
-
131
-
132
-
133
-
134
-
135
-
136
-
137
-
138
-
139
Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
Published 2019“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
-
140