3 papers
cs.LG2023
Support matrix machine: A review
Anuradha Kumari, Mushir Akhtar, Rupal Shah +1
Support vector machine (SVM) is one of the most studied paradigms in the realm of machine learning for classification and regression problems. It relies on vectorized input data. H…
cs.LG2023
Projection based fuzzy least squares twin support vector machine for class imbalance problems
M. Tanveer, Ritik Mishra, Bharat Richhariya
Class imbalance is a major problem in many real world classification tasks. Due to the imbalance in the number of samples, the support vector machine (SVM) classifier gets biased t…
cs.LG2023
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions
Shradha Verma, Tripti Goel, M Tanveer +3
Schizophrenia (SCZ) is a brain disorder where different people experience different symptoms, such as hallucination, delusion, flat-talk, disorganized thinking, etc. In the long te…