Search alternatives:
process optimization » model optimization (Expand Search)
robust optimization » robust estimation (Expand Search), joint optimization (Expand Search)
simple process » single process (Expand Search), complex process (Expand Search), sample processing (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
process optimization » model optimization (Expand Search)
robust optimization » robust estimation (Expand Search), joint optimization (Expand Search)
simple process » single process (Expand Search), complex process (Expand Search), sample processing (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
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. …”
-
8
Models and Dataset
Published 2025“…<p dir="ltr"><b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. …”
-
9
Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”