Synthetic datasets generation for IGDA experiments
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Updated
Mar 21, 2020 - R
Synthetic datasets generation for IGDA experiments
The role of the repository is to provide a platform to present the codes which serve as a tutorial for those who are interested in learning and implementing the proposed methods to compute with confidence for the reliability analysis of engineering systems.
An R package for working with discrete p-boxes.
ADAPtive QUESTtionnaire, an IDSIA tool for adaptive tests, surveys, and questionnaires.
This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our paper "Accounting for Gaussian Process Imprecision in Bayesian Optimization"
Conformalized Credal Set Predictors (NeurIPS 2024)
Implementation of the algorithm described in the paper "An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data"
A python port of the OpenCossan Interval Predictor Model toolbox
Crema: Credal Models Algorithms
Rigorous moment propagation with partial information about moments and dependencies in Julia
Credici: Credal Inference for Causal Inference
Probability bounds analysis in Julia
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