PyMC source program to determine the number of clusters in multi-dimensional data by WBIC.
-
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)
Estimating common parameters of the distribution of a successive Random dilution. A comparative study.
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
A Python package implementing informational complexity (ICOMP) criteria for regression models
The project involves the analysis and forecasting of time series on financial data.
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
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)
Add a description, image, and links to the bayesian-information-criterion topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-information-criterion topic, visit your repo's landing page and select "manage topics."