A novel hierarchical feature selection method based on large margin nearest neighbor learning

J Zheng, C Luo, T Li, H Chen - Neurocomputing, 2022 - Elsevier
The complexity of data has been increasing not only in the dimension of the data, but also in
the interrelated class relationships. Pre-defined hierarchical structure of classes helps to …

Subspace learning machine (SLM): Methodology and performance evaluation

H Fu, Y Yang, VK Mishra, CCJ Kuo - Journal of Visual Communication and …, 2024 - Elsevier
Inspired by the feedforward multilayer perceptron (FF-MLP), decision tree (DT) and extreme
learning machine (ELM), a new classification model, called the subspace learning machine …

Subspace learning machine (slm): Methodology and performance

H Fu, Y Yang, VK Mishra, CCJ Kuo - arXiv preprint arXiv:2205.05296, 2022 - arxiv.org
Inspired by the feedforward multilayer perceptron (FF-MLP), decision tree (DT) and extreme
learning machine (ELM), a new classification model, called the subspace learning machine …

[PDF][PDF] Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition

JP Göpfert - 2022 - scholar.archive.org
This thesis being the preliminary culmination of my academic journey, I feel it appropriate to
thank a number of people who have been a positive influence along the way. First and …

[PDF][PDF] Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.

M Münch, C Raab, S Heilig, M Röder, FM Schleif - ESANN, 2022 - researchgate.net
Data and information are nowadays frequently available in multiple modalities like different
sensor signals, textual descriptions, graph structures, and other formats. The maximum …

New approaches to classification and regression for very high dimensional data

VK Mishra, CCJ Kuo - Disruptive Technologies in Information …, 2023 - spiedigitallibrary.org
Feature classification and regression tasks for high dimensional data have been handled by
many well-known algorithms like feed-forward multi-level perceptron, decision tree, support …

[PDF][PDF] Subspace Learning Machine (SLM): A New Approach to Classification and Regression

VK Mishra, CCJ Kuo - apps.dtic.mil
Classification and regression are some of the most important tasks handled by supervised
machine learning. Many approaches like feedforward multilayer perceptron, decision tree …