37 citations · 39 across the 5 of their papers we have counts for
5 papers
Performance Evaluation and Comparison of a New Regression Algorithm
Sabina Gooljar, Kris Manohar, Patrick Hosein
In recent years, Machine Learning algorithms, in particular supervised learning techniques, have been shown to be very effective in solving regression problems. We compare the perf…
Exploring Supervised Machine Learning for Multi-Phase Identification and Quantification from Powder X-Ray Diffraction Spectra
Jaimie Greasley, Patrick Hosein
Powder X-ray diffraction analysis is a critical component of materials characterization methodologies. Discerning characteristic Bragg intensity peaks and assigning them to known c…
An Optimization-Based Supervised Learning Algorithm for PXRD Phase Fraction Estimation
Patrick Hosein, Jaimie Greasley
In powder diffraction data analysis, phase identification is the process of determining the crystalline phases in a sample using its characteristic Bragg peaks. For multiphasic spe…
A Data Science Approach to Risk Assessment for Automobile Insurance Policies
Patrick Hosein
In order to determine a suitable automobile insurance policy premium one needs to take into account three factors, the risk associated with the drivers and cars on the policy, the…
Bayes Classification using an approximation to the Joint Probability Distribution of the Attributes
Patrick Hosein, Kevin Baboolal
The Naive-Bayes classifier is widely used due to its simplicity, speed and accuracy. However this approach fails when, for at least one attribute value in a test sample, there are…