Abstract: Many computer vision and medical imaging problems are faced with learning from large-scale ... and finds applications in regression, classification and ranking. The resultant algorithms ...

This study offers a comparative analysis of several ordinal activation functions that utilize four key cumulative link functions used in ordinal regression: logit (logistic distribution), probit ...

Abstract: Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical scale which shows a natural order between the labels. Many ...

How does it perform on other datasets? We are going to test our model on a simple random dataset and a slightly more complex ten-classification problem to better understand how our model performs on ...

Decision making and problem solving Digital Article Cheryl Strauss Einhorn They can reveal faulty assumptions, hidden opportunities, and what’s really within your control. Save Share May 01, 2025 ...

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 ...