A hybrid model for activity recognition and uncertainty handling
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Updated
Feb 27, 2017 - Java
A hybrid model for activity recognition and uncertainty handling
a Java pathfinder program implemented with A* algorithm
Handling of numbers with units and uncertainty
A DSL for expressing uncertainty in OCL integrity constraints
This repository demonstrates work completed as part of the University of St Andrews, CS5011 Artificial Intelligence Practice module. Specifically, four different AI practice domains were considered: Search, Uncertainty, Logic, and Learning.
Uncertain times séries classification
Clustering algorithms for uncertain data
The explicit representation of uncertainty in a dynamic software production line variability model and feature ranking in final configuration to improve robustness in product configuration.
Companion repository for "Quantifying and combining uncertainty for improving the behavior of Digital Twins"
Various assignments relating to the practice of AI concepts, specifically: search, logic, learning, and uncertainty.
PLanning and Acting with TImeliNes under Uncertainty
A Java Stochastic Dynamic Programming Library
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