Scientific Research Publishing

McCauley, S. (2012) Applying Multinomial Logistic Regression to Categorize Student Technological Knowledge Based on Technology Usage Attributes. Walden University.

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 ...
Scientific Research Publishing

Poursheikhali Asgary, M., Jahandideh, S., Abdolmaleki, P. and Kazemnejad, A. (2007) Analysis and Identification of

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 ...
jnis.bmj

Pre-treatment fear of disease progression profiles and psychological resilience among patients with unruptured intracranial aneurysms

Background Fear of disease progression (FoP) is a common psychological concern among patients with unruptured intracranial aneurysms (UIAs). However, heterogeneity in FoP and the role of psychological ...
Hosted on MSN

Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
Semiconductor Engineering

AI-Driven Verification Regression Management

Coping with the endless growth in chip size and complexity requires innovative electronic design automation (EDA) solutions at every stage of the development process. Better algorithms, increased ...