:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Lin, Justin, Fukuyama, Julia
Formato:	Preprint
Publicado:	2023
Materias:	Applications Machine Learning
Acceso en línea:	https://arxiv.org/abs/2312.02946
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DRtool: An Interactive Tool for Analyzing High-Dimensional Clusterings
por: Lin, Justin, et al.
Publicado: (2025)

On metric choice in dimension reduction for Fréchet regression
por: Soale, Abdul-Nasah, et al.
Publicado: (2024)

Revisiting PCA for time series reduction in temporal dimension
por: Gao, Jiaxin, et al.
Publicado: (2024)

Fault detection in propulsion motors in the presence of concept drift
por: Tveten, Martin, et al.
Publicado: (2024)

Variance reduction combining pre-experiment and in-experiment data
por: Lin, Zhexiao, et al.
Publicado: (2024)

Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning
por: Modi, Mirage, et al.
Publicado: (2025)

A comparative analysis of machine learning models in SHAP analysis
por: Lin, Justin, et al.
Publicado: (2026)

Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs
por: Davidov, Hen, et al.
Publicado: (2025)

SHAP-Based Supervised Clustering for Sample Classification and the Generalized Waterfall Plot
por: Lin, Justin, et al.
Publicado: (2025)

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
por: Tassopoulou, Vasiliki, et al.
Publicado: (2025)

Uncertainty-Aware Calibration of a Hot-Wire Anemometer With Gaussian Process Regression
por: García-Ruiz, Rubén Antonio, et al.
Publicado: (2024)

Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification
por: Kim, Jungho, et al.
Publicado: (2024)

Effective climate policies for major emission reductions of ozone precursors: Global evidence from two decades
por: Yao, Ningning, et al.
Publicado: (2025)

BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration
por: Sharpnack, James, et al.
Publicado: (2024)

Adaptive Semi-Supervised Training of P300 ERP-BCI Speller System with Minimum Calibration Effort
por: Chen, Shumeng, et al.
Publicado: (2026)

Data-driven Calibration Sample Selection and Forecast Combination in Electricity Price Forecasting: An Application of the ARHNN Method
por: Serafin, Tomasz, et al.
Publicado: (2025)

Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems
por: Landesberg, Eddie, et al.
Publicado: (2025)

Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction
por: Stroh, Rémi, et al.
Publicado: (2020)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
por: Saxena, Manan, et al.
Publicado: (2024)

An early warning indicator trained on stochastic disease-spreading models with different noises
por: Chakraborty, Amit K., et al.
Publicado: (2024)

Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
por: Giovannelli, Jean-François
Publicado: (2026)

Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
por: Murph, Alexander C., et al.
Publicado: (2023)

Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
por: Park, Yoon Tae, et al.
Publicado: (2024)

AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning
por: Sharpnack, James, et al.
Publicado: (2024)

Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions
por: Lin, Gefei, et al.
Publicado: (2026)

Ranking and Combining Latent Structured Predictive Scores without Labeled Data
por: Afshar, Shiva, et al.
Publicado: (2024)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
por: Simeone, Osvaldo, et al.
Publicado: (2025)

Integration of Active Learning and MCMC Sampling for Efficient Bayesian Calibration of Mechanical Properties
por: Riccius, Leon, et al.
Publicado: (2024)

Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning
por: Zhou, Cai, et al.
Publicado: (2026)

Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis
por: Sun, Jingyao, et al.
Publicado: (2025)

Detection of Interacting Variables for Generalized Linear Models via Neural Networks
por: Havrylenko, Yevhen, et al.
Publicado: (2022)

Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
por: Zhang, Xinyu, et al.
Publicado: (2026)

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
por: Wang, Hao, et al.
Publicado: (2026)

Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
por: Kosko, Matthew, et al.
Publicado: (2026)

An Empirical Study: Extensive Deep Temporal Point Process
por: Lin, Haitao, et al.
Publicado: (2021)

A Bayesian Model for Multi-stage Censoring
por: Sadhuka, Shuvom, et al.
Publicado: (2025)

A Statistical Theory of Regularization-Based Continual Learning
por: Zhao, Xuyang, et al.
Publicado: (2024)

A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
por: Caruso, Camillo Maria, et al.
Publicado: (2023)

Ellipsoid fitting with the Cayley transform
por: Melikechi, Omar, et al.
Publicado: (2023)

Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
por: Valleggi, Lorenzo, et al.
Publicado: (2023)