Dongrui Wu

Linear approximation of Karnik-Mendel type reduction algorithm

2015

Karnik-Mendel (KM) algorithm is the most used and researched type reduction (TR) algorithm in literature. This algorithm is iterative in nature and despite consistent long term effort, no general closed form formula has been found …

Patch Learning

2019 · arXiv (Cornell University)

There have been different strategies to improve the performance of a machine learning model, e.g., increasing the depth, width, and/or nonlinearity of the model, and using ensemble learning to aggregate multiple base/weak learners in parallel …

White-Box Target Attack for EEG-Based BCI Regression Problems

2019 · arXiv (Cornell University)

Machine learning has achieved great success in many applications, including electroencephalogram (EEG) based brain-computer interfaces (BCIs). Unfortunately, many machine learning models are vulnerable to adversarial examples, which are crafted by adding deliberately designed perturbations to …

Unsupervised Pool-Based Active Learning for Linear Regression

2020 · arXiv (Cornell University)

In many real-world machine learning applications, unlabeled data can be easily obtained, but it is very time-consuming and/or expensive to label them. So, it is desirable to be able to select the optimal samples to …