PyMC source program to determine the number of clusters in multi-dimensional data by WBIC.
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Updated
Dec 23, 2022 - Jupyter Notebook
PyMC source program to determine the number of clusters in multi-dimensional data by WBIC.
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
Sign Language Recognizer
A Python package implementing informational complexity (ICOMP) criteria for regression models
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
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.
The project involves the analysis and forecasting of time series on financial data.
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.
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
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