:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xi, Xiaowei, Leng, Song, Gong, Yuqing, Li, Dalin
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2411.15223
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improving conversion rate prediction via self-supervised pre-training in online advertising
par: Shtoff, Alex, et autres
Publié: (2024)

Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions
par: Xue, Tao, et autres
Publié: (2025)

DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
par: Li, Yuewei, et autres
Publié: (2026)

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
par: Zhu, Min, et autres
Publié: (2023)

Large language model validity via enhanced conformal prediction methods
par: Cherian, John J., et autres
Publié: (2024)

Does confidence calibration improve conformal prediction?
par: Xi, Huajun, et autres
Publié: (2024)

A high-accuracy multi-model mixing retrosynthetic method
par: Xiang, Shang, et autres
Publié: (2024)

Two-stage hybrid models for enhancing forecasting accuracy on heterogeneous time series
par: Ren, Junru, et autres
Publié: (2025)

Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy
par: Clinkinbeard, Nicholus R., et autres
Publié: (2022)

Diagnosis of Fuel Cell Health Status with Deep Sparse Auto-Encoder Neural Network
par: Fei, Chenyan, et autres
Publié: (2025)

Fractal interpolation in the context of prediction accuracy optimization
par: Baicoianu, Alexandra, et autres
Publié: (2024)

Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detection
par: Xu, Luosheng, et autres
Publié: (2025)

Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction
par: Puttanawarut, Chanon, et autres
Publié: (2024)

The day-ahead scenario generation method for new energy based on an improved conditional generative diffusion model
par: Wang, Changgang, et autres
Publié: (2025)

Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
par: Gao, Shan, et autres
Publié: (2025)

Detecting the presence of sperm whales echolocation clicks in noisy environments
par: Gubnitsky, Guy, et autres
Publié: (2023)

Large Language Model-Empowered Interactive Load Forecasting
par: Zuo, Yu, et autres
Publié: (2025)

Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
par: Ahmed, Bilal, et autres
Publié: (2024)

Adaptive Moment Estimation Optimization Algorithm Using Projection Gradient for Deep Learning
par: Li, Yongqi, et autres
Publié: (2025)

Enhancing classification accuracy through chaos
par: Stinis, Panos
Publié: (2026)

Machine learning for sports betting: should model selection be based on accuracy or calibration?
par: Walsh, Conor, et autres
Publié: (2023)

Teacher-student training improves accuracy and efficiency of machine learning interatomic potentials
par: Matin, Sakib, et autres
Publié: (2025)

DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning
par: Bao, Condy, et autres
Publié: (2024)

Improving the accuracy of food security predictions by integrating conflict data
par: Bertetti, Marco, et autres
Publié: (2024)

Gated recurrent neural network with TPE Bayesian optimization for enhancing stock index prediction accuracy
par: Dinda, Bivas
Publié: (2024)

DeepCDCL: An CDCL-based Neural Network Verification Framework
par: Liu, Zongxin, et autres
Publié: (2024)

Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction
par: Qian, Yuqing, et autres
Publié: (2024)

A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models
par: Sengupta, Agnimitra, et autres
Publié: (2023)

CrystalX: High-accuracy Crystal Structure Analysis Using Deep Learning
par: Zheng, Kaipeng, et autres
Publié: (2024)

Deep Learning for predicting rate-induced tipping
par: Huang, Yu, et autres
Publié: (2024)

Deep learning outperforms traditional machine learning methods in predicting childhood malnutrition: evidence from survey data
par: Bastola, Deepak, et autres
Publié: (2026)

Integrating Bayesian methods with neural network--based model predictive control: a review
par: Karacelik, Asli
Publié: (2025)

Analyzing the effect of prediction accuracy on the distributionally-robust competitive ratio
par: Yoshinaga, Toru, et autres
Publié: (2026)

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
par: Saimon, Amirul Islam, et autres
Publié: (2024)

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

Multilingual hierarchical classification of job advertisements for job vacancy statistics
par: Beręsewicz, Maciej, et autres
Publié: (2024)

GMINN: Gate‐enhanced multi‐space interaction neural networks for click‐through rate prediction
par: Xingyu Feng, et autres
Publié: (2024)

Convergence of Spectral Descent for Non-smooth Optimization
par: Yang, Yixuan, et autres
Publié: (2026)

Conditional Lagrangian Wasserstein Flow for Time Series Imputation
par: Qian, Weizhu, et autres
Publié: (2024)

Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging
par: Husain, Syed Zahid, et autres
Publié: (2024)