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Aleatoric and Epistemic Uncertainty with Random Forests

Aleatoric and Epistemic Uncertainty with Random Forests

3 January 2020
M. Shaker
Eyke Hüllermeier
    BDL
    UD
    PER
ArXivPDFHTML

Papers citing "Aleatoric and Epistemic Uncertainty with Random Forests"

15 / 15 papers shown
Title
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
31
0
0
02 May 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
UQCV
UD
PER
82
0
0
30 Jan 2025
Uncertainty quantification for probabilistic machine learning in earth
  observation using conformal prediction
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Geethen Singh
Glenn Moncrieff
Zander Venter
Kerry Cawse-Nicholson
Jasper Slingsby
Tamara B. Robinson
36
14
0
12 Jan 2024
Online Learning Models for Vehicle Usage Prediction During COVID-19
Online Learning Models for Vehicle Usage Prediction During COVID-19
Tobias Lindroth
Axel Svensson
Niklas Åkerblom
Mitra Pourabdollah
M. Chehreghani
17
0
0
28 Oct 2022
Uncertainty in Extreme Multi-label Classification
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang
Wei-Cheng Chang
Jiong Zhong
Cho-Jui Hsieh
Hsiang-Fu Yu
UQCV
21
0
0
18 Oct 2022
Combining Predictions under Uncertainty: The Case of Random Decision
  Trees
Combining Predictions under Uncertainty: The Case of Random Decision Trees
Florian Busch
Moritz Kulessa
E. Mencía
Hendrik Blockeel
UD
UQCV
25
1
0
15 Aug 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Hengrui Zhang
WeiWayneChen
Akshay Iyer
D. Apley
Wei Chen
AI4CE
41
11
0
11 Jul 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss
  Minimisation
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
EDL
UQCV
UD
31
36
0
11 Mar 2022
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing
  Environments
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments
Shreshth Tuli
G. Casale
N. Jennings
32
21
0
16 Dec 2021
Detecting and Mitigating Test-time Failure Risks via Model-agnostic
  Uncertainty Learning
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
34
3
0
09 Sep 2021
Active learning for imbalanced data under cold start
Active learning for imbalanced data under cold start
R. Barata
Miguel Leite
R. Pacheco
Marco O. P. Sampaio
João Tiago Ascensão
P. Bizarro
AI4CE
27
8
0
16 Jul 2021
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
212
81
0
16 Feb 2021
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction
  to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PER
UD
87
1,359
0
21 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
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