GitHub topics: bayesian-information-criterion

Repositories

Pongpisit-Thanasutives/parametric-discovery Fork of snagcliffs/parametric-discovery

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

Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Pongpisit-Thanasutives/UBIC-test

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

Language: Jupyter Notebook - Size: 66 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Pongpisit-Thanasutives/UBIC-play

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

Language: Jupyter Notebook - Size: 47.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Pongpisit-Thanasutives/UBIC

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

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 1

ltfschoen/AIND-Recognizer

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

Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: 2 months ago - Pushed at: about 8 years ago - Stars: 13 - Forks: 5

Pongpisit-Thanasutives/PDE-FIND Fork of snagcliffs/PDE-FIND

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

Language: Gnuplot - Size: 1.09 GB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

overtane/udacity-aind-p4

Sign Language Recognizer

Language: Jupyter Notebook - Size: 425 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

polyactis/Accucopy

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

Language: C++ - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4

anthonyli01/Regression-Model-for-Car-Prices

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.

Size: 626 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

daiki-ko/GMM-WBIC_with_PyMC

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

Language: Jupyter Notebook - Size: 430 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sumanth-bmsce/Unsupervised_Extreme_Learning_Machine

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

Language: Python - Size: 1.84 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 2