Sep 1, 2016 · In this paper, inspired by the ensemble learning [16], we proposed a new Deep Support Vector Machine (called DeepSVM). For each layer, we ...

In this paper, we focus on the DL research based on Support Vector Machine (SVM), and first present an Ex-Adaboost learning strategy, and then propose a new ...

Sep 1, 2016 · In this paper, we focus on the DL research based on Support Vector Machine (SVM), and first present an Ex-Adaboost learning strategy, and then propose a new ...

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification · Zhiquan Qi, Bo Wang, +1 author. Peng Zhang · Published in ...

In this paper, we focus on the DL research based on Support Vector Machine (SVM), and first present an Ex-Adaboost learning strategy, and then propose a new ...

Oct 22, 2024 · In recent years, deep learning has contributed to improvements in data learning and representation. When it comes to prediction, deep ...

The authors introduced multi-kernel SVM classifiers to combine with the biomarkers of three modalities including structural MRI, FDG-PET, and CSF to achieve up ...

Sep 30, 2024 · This study aimed to classifying wheat genotypes using support vector machines (SVMs) improved with ensemble algorithms and optimization techniques.

Jul 4, 2024 · Ensemble learning, which involves combining multiple models to improve overall performance, and deep learning, characterized by neural networks ...

Sep 17, 2021 · We develop a protocol to combine the power of ML and DL to generate a set of simple rules that are easy to interpret with high prediction power.