Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews
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Updated
Nov 10, 2021 - Python
Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews
"High Frequency" style trading algo based on the Dempster-Shafer fusion theory in C# using the Interactive Brokers API.
Belief functions theory (Dempster-Shafer theory) implementation in C++
A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory
TPS ET RAPPORTS MODULE RCR 1 et 2
📐 Sensor fusion for object classification based on dempster-schafer theory
A python package of evidence theory
General-purpose C++ library for Dempster-Shafer Theory (DST)
A library for working with evidence theory models.
This library is developed to perform efficient and exact computation of Dempster's and Fagin-Halpern conditionals (DS-Conditional-One and DS-Conditional-All in C++)
This reposity present an approach to build 2D evidential occupancy grid maps with Lidar data
This library provides a linear time and space algorithm for computing all the Fagin-Halpern conditional beliefs generated from consonant belief functions
DST approach on Recommended Systems(RS).
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