GitHub

multinomial-logistic-regression

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text ...
BMJ

Systematic estimates of global causes of neonatal and under 5 mortality in 2000-24: secondary data analysis using bayesian multinomial logistic regression

Data sources PubMed, Embase, Web of Science, SCOPUS, Cochrane, Global Health Index Medicus, PAHO, Global Health OVID, Africa-Wide Information, IndMed, WHO Mortality Database, Demographic and Health ...
Scientific Research Publishing

Poursheikhali Asgary, M., Jahandideh, S., Abdolmaleki, P. and Kazemnejad, A. (2007) Analysis and Identification of β-Turn Types Using Multinomial Logistic Regression and ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
Phys.org

A 'crazy' dice proof leads to a new understanding of a fundamental law of physics

Right now, molecules in the air are moving around you in chaotic and unpredictable ways. To make sense of such systems, physicists use a law known as the Boltzmann distribution, which, rather than ...
Investopedia

Understanding Multinomial Distribution: Definition, Applications, Examples

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...
Scientific Research Publishing

Bayaga, A. (2010) Multinomial Logistic Regression: Usage and Application in Risk Analysis. Journal of Applied Quantitative Methods, 5, 288-297.

ABSTRACT: This research delves into the hurdles and strategies aimed at augmenting the market involvement of smallholder carrot farmers in Nakuru County, Kenya. Employing a Multinomial Logit (MNL) ...