research
∙
07/23/2021
Text Classification and Clustering with Annealing Soft Nearest Neighbor Loss
We define disentanglement as how far class-different data points from ea...
share
research
∙
06/05/2020
Improving k-Means Clustering Performance with Disentangled Internal Representations
Deep clustering algorithms combine representation learning and clusterin...
research
∙
05/08/2018
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)
Understanding customer sentiments is of paramount importance in marketin...
research
∙
03/22/2018
Deep Learning using Rectified Linear Units (ReLU)
We introduce the use of rectified linear units (ReLU) as the classificat...
research
∙
12/31/2017
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification
Effective and efficient mitigation of malware is a long-time endeavor in...
research
∙
12/10/2017
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification
Convolutional neural networks (CNNs) are similar to "ordinary" neural ne...
research
∙
11/20/2017
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
This paper presents a comparison of six machine learning (ML) algorithms...
research
∙
09/10/2017
