:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Mazo, Gildas
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Methodology
Accès en ligne:	https://arxiv.org/abs/2409.06271
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Performing global sensitivity analysis on simulations of a continuous-time Markov chain model motivated by epidemiology
par: Kouye, Henri Mermoz, et autres
Publié: (2022)

Gaussian copula correlation network analysis with application to multi-omics data
par: Tomilina, Ekaterina, et autres
Publié: (2025)

The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks
par: Leonelli, Manuele, et autres
Publié: (2024)

A cost-sensitive constrained Lasso
par: Blanquero, Rafael, et autres
Publié: (2024)

Extended Isolation Forest with feature sensitivities
par: Donhauzer, Illia
Publié: (2026)

Variance-based sensitivity analysis in the presence of correlated input variables
par: Most, Thomas
Publié: (2024)

Neyman-Pearson Multi-class Classification via Cost-sensitive Learning
par: Tian, Ye, et autres
Publié: (2021)

Counterfactual identifiability beyond global monotonicity: non-monotone triangular structural causal models
par: Tan, Pengcheng, et autres
Publié: (2026)

A new machine learning framework for occupational accidents forecasting with safety inspections integration
par: Yapi, Aho, et autres
Publié: (2025)

Abnormal component analysis
par: Valla, Romain, et autres
Publié: (2023)

Regularizing nested Monte Carlo Sobol' index estimators to balance the trade-off between explorations and repetitions in global sensitivity analysis of stochastic models
par: Kouye, Henri Mermoz, et autres
Publié: (2022)

Distribution-free root cause analysis
par: Hore, Rohan, et autres
Publié: (2026)

Sensitivity analysis using the Metamodel of Optimal Prognosis
par: Most, Thomas, et autres
Publié: (2024)

What is to be gained by ensemble models in analysis of spectroscopic data?
par: Domijan, Katarina
Publié: (2024)

Explainable AI for survival analysis: a median-SHAP approach
par: Ter-Minassian, Lucile, et autres
Publié: (2024)

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
par: Balzer, Laura B., et autres
Publié: (2025)

Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
par: Tamano, Hiroshi, et autres
Publié: (2025)

Identification and multiply robust estimation in causal mediation analysis across principal strata
par: Cheng, Chao, et autres
Publié: (2023)

Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning
par: Ayadi, Imen, et autres
Publié: (2024)

A new approach to locally adaptive polynomial regression
par: Chatterjee, Sabyasachi, et autres
Publié: (2024)

Spectral decomposition-assisted multi-study factor analysis
par: Mauri, Lorenzo, et autres
Publié: (2025)

Gaussian process interpolation with conformal prediction: methods and comparative analysis
par: Pion, Aurélien, et autres
Publié: (2024)

Biarchetype analysis: simultaneous learning of observations and features based on extremes
par: Alcacer, Aleix, et autres
Publié: (2023)

Principal component analysis balancing prediction and approximation accuracy for spatial data
par: Cheng, Si, et autres
Publié: (2024)

Reliability analysis for non-deterministic limit-states using stochastic emulators
par: Pires, Anderson V., et autres
Publié: (2024)

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
par: Perrin, Valentine, et autres
Publié: (2024)

A weighted U statistic for association analysis considering genetic heterogeneity
par: Wei, Changshuai, et autres
Publié: (2015)

Generalized promotion time cure model: A new modeling framework to identify cell-type-specific genes and improve survival prognosis
par: Zhao, Zhi, et autres
Publié: (2025)

FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
par: Ma, Ziling, et autres
Publié: (2025)

AL-SPCE -- Reliability analysis for nondeterministic models using stochastic polynomial chaos expansions and active learning
par: Pires, A., et autres
Publié: (2025)

A Multiclass ROC Curve
par: Giudici, Paolo, et autres
Publié: (2025)

A Survey on Archetypal Analysis
par: Alcacer, Aleix, et autres
Publié: (2025)

A Semiparametric Approach to Causal Inference
par: Zhang, Archer Gong, et autres
Publié: (2024)

A Note on the Prediction-Powered Bootstrap
par: Zrnic, Tijana
Publié: (2024)

A Priori Determination of the Pretest Probability
par: Balayla, Jacques
Publié: (2024)

Shapley Curves: A Smoothing Perspective
par: Miftachov, Ratmir, et autres
Publié: (2022)

A Set of Rules for Model Validation
par: Camacho, José
Publié: (2025)

Setting the duration of online A/B experiments
par: Li, Harrison H., et autres
Publié: (2024)

Causal Inference with Complex Treatments: A Survey
par: Wang, Yingrong, et autres
Publié: (2024)

Predicting missing values: A good idea?
par: van Buuren, Stef
Publié: (2026)