Text classification has been widely applied to many practical tasks. Inductive models trained from labeled data are the most commonly used technique. The basic assumption underlying an inductive model ...

Nirmala Sitharaman used the "popcorn example" to illustrate the need for GST classification reforms, citing past issues causing litigation and revenue loss. The GST Council's new structure simplifies ...

Abstract: As an important carrier for disseminating information in the Internet Age, the text contains a large amount of information. In recent years, adversarial example attacks against text discrete ...

This repository contains two examples accompanying the series of blog posts titled Unifying MATLAB and Simulink: A User Story on Guy on Simulink. The workflow illustrated in this example ...

Abstract: Adversarial examples can evade the detection of text classification models based on Deep Neural Networks (DNNs), thus posing a potential security threat to the system. To address this ...

This example includes how to preprocess the data, how to use the deep learning toolbox of MATLAB to build and visualize the neural network, and how to output the characteristics of a certain layer of ...

van Krevelen diagrams (O/C vs H/C ratios of elemental formulas) have been widely used in studies to obtain an estimation of the main compound categories present in environmental samples. However, the ...