Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Abstract: This technical note deals with switched linear system identification and more particularly aims at solving switched linear regression problems in a ... us to derive a computationally ...

To investigate the influence of protein intake as a continuous variable on individual study arms (as opposed being limited to MDs between groups in a meta-regression) linear and segmental regressions ...

We propose a simple optimal soft-input/soft-output symbol decoding algorithm for linear block codes which requires one forward recursion using a trellis. For many codes the decoding complexity is ...

This study presents a comprehensive machine learning approach to predict oil well productivity decline. Using advanced algorithms and feature engineering, we developed predictive models that can ...

This project is a Machine Learning-based web application that predicts the probability of admission into a university based on factors such as GRE score, TOEFL score, university rating, SOP & LOR ...