GitHub

sudais360/Comparative-Text-Classification-Using-Statistical-and-Embedding-Based-Models

This project explores the effectiveness of both statistical and embedding-based models in the task of text classification, specifically for categorizing news articles into predefined classes: World, ...
Frontiers

Supervised classification in the presence of misclassified training data: a Monte Carlo simulation study in the three group case

Statistical classification of phenomena into observed groups is very common in the social and behavioral sciences. Statistical classification methods, however, are affected by the characteristics of ...
IEEE

Statistical Classification via Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds

Abstract: We consider Bayesian multiple statistical classification problem in the case where the unknown source distributions are estimated from the labeled training sequences, then the estimates are ...
GitHub

Statistical tests on Classification and Regression data and models

A new feature is being implemented for the Timeseries module to evaluate relevant statistical tests on both pre and post models. It would be meaningful to implement this module throughout Pycaret and ...
UCL

Statistical Modelling and Classification of binary outcomes with Logistic Regression (Online)

This online, self-paced course provides and introduction to logistic regression, a common analysis technique for binary (proportion/percentage) data. This course is ...
C&EN

Application of PCA and SIMCA Statistical Analysis of FT-IR Spectra for the Classification and Identification of Different Slag Types with Environmental Origin

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...