Unsupervised Extreme Learning Machine(ELM) is a non-iterative algorithm used for feature extraction. This method is applied on the IRIS Dataset for non-linear feature extraction and clustering using k-means, Self Organizing Maps(Kohonen Network) and EM Algorithm

Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

PyMC source program to determine the number of clusters in multi-dimensional data by WBIC.

PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)

Estimating common parameters of the distribution of a successive Random dilution. A comparative study.

University Project: using linear regression models to predict secondary market car prices based on a series of features. We will apply variable selection techniques and optimisation in attempt to build the best predictive model.

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Sign Language Recognizer

A Python package implementing informational complexity (ICOMP) criteria for regression models

The project involves the analysis and forecasting of time series on financial data.