A Java Stochastic Dynamic Programming Library
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Updated
May 2, 2024 - Java
A Java Stochastic Dynamic Programming Library
Various assignments relating to the practice of AI concepts, specifically: search, logic, learning, and uncertainty.
PLanning and Acting with TImeliNes under Uncertainty
A hybrid model for activity recognition and uncertainty handling
Handling of numbers with units and uncertainty
a Java pathfinder program implemented with A* algorithm
A DSL for expressing uncertainty in OCL integrity constraints
Uncertain times séries classification
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.
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"
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