Search
New Code
Rapid PHP 2018 15.5
IBDAC 6.4
Online Course Booking Script 1.3.3
Database Workbench Pro 5.6.4
Job Portal Script 1.3.2
The C# PDF Library 5.2
PostgreSQL Data Access Components 6.0
Virtual Data Access Components 11.0
HTMLPad 2018 15.5
WeBuilder 2018 15.5
SentiMask SDK Trial 2.0.0
Track Order For Magento 2 1.0.0
Calendar 365 For Dynamics CRM 4.0
Scimbo 1.2
Odoo Furnito Theme 1.0
Top Code
VisualNEO Web 2018.12.15
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
Code Listing by Guangdi Li

Code 1-6 of 6   






As a famous sub-structure of Bayesian network, causal polytree is able to recover the causality very efficiently.

Here, I implement pearl's classical algorithm here for easy using. Details can be seen in Pearl's paper[1].

To recover general Causal polytree, one can download "Fisher's exact test" in my space for conditional independence test.

One can start from ControlCenter.m, I add a simple...



The probabilistic logic sampling algorithm is described in (Henrion 1988). Here is the website:
http://genie.sis.pitt.edu/wiki/Stochastic_Sampling_Algorithms:_Probabilistic_Logic_Sampling

About the theory under PLS, please refer...



Our basic idea is based on (n,k)-gray code which was introduced in one paper named :"Generalized Gray Codes with Applications".

Our extention is allowing each digit ranged from different digit which is widely useful in some...



A simple, fast and short code for beginners, who cares about Fisher's Exact Test, .
As a beginner, at least you need to know what we do with Fisher's Exact Test (see [1][2]). My function is simple,

Pvalue =...



The definition of mutual information could resort to wiki:
http://en.wikipedia.org/wiki/Mutual_information

For marginal mutual information, we say it is :
I(A,B)=sum sum P(A,B) log[P(A,B)/P(A)P(B)]

For conditional...



We use the idea of Chu-Liu/Edmonds Algorithm, see paper [1,2], to implement four functions here.
1. Maximal Directed Maximum Spanning Tree
By DirectedMaximumSpanningTree.m
2. Minimal Directed Maximum Spanning Tree
By...