Topic modelling refers to a popular set of techniques used to discover hidden topics that occur in a collection of documents. These topics can, for example, be used to categorize documents or label ...

Abstract: Latent Dirichlet Allocation (LDA) is a text mining technique used for automatic extraction of topics addressed in document collections. Sampling-based or variational inference algorithms are ...

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...

Install Python 3.7.0, https://www.python.org/downloads/release/python-370/ Intall PIP, https://www.geeksforgeeks.org/how-to-install-pip-on-windows/ Install Lib ...

ABSTRACT: In any side-channel attack, it is desirable to exploit all the available leakage data to compute the distinguisher’s values. The profiling phase is essential to obtain an accurate leakage ...

Abstract: Latent Dirichlet Allocation (LDA) is a statistical technique for topic modeling. Prior efforts to parallelize LDA have either used expensive atomic operations or weakened the sampling model ...