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 …
the interrelated class relationships. Pre-defined hierarchical structure of classes helps to …
Subspace learning machine (SLM): Methodology and performance evaluation
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 …
learning machine (ELM), a new classification model, called the subspace learning machine …
Subspace learning machine (slm): Methodology and performance
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 …
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 …
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.
Data and information are nowadays frequently available in multiple modalities like different
sensor signals, textual descriptions, graph structures, and other formats. The maximum …
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 …
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 …
machine learning. Many approaches like feedforward multilayer perceptron, decision tree …