How to Achieve Higher Accuracy with Less Training Points?
Fuente:
arXiv
Guardado en:
| Autores principales: | Yang, Jinghan, Pani, Anupam, Zhang, Yunchao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
por: Liu, Xueqing, et al.
Publicado: (2023)
por: Liu, Xueqing, et al.
Publicado: (2023)
DemandLens: Enhancing Forecast Accuracy Through Product-Specific Hyperparameter Optimization
por: Pillai, Srijesh, et al.
Publicado: (2025)
por: Pillai, Srijesh, et al.
Publicado: (2025)
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
por: Lindas, Eloi, et al.
Publicado: (2025)
por: Lindas, Eloi, et al.
Publicado: (2025)
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
por: Han, Sangil, et al.
Publicado: (2025)
por: Han, Sangil, et al.
Publicado: (2025)
Differentially private synthesis of Spatial Point Processes
por: Kim, Dangchan, et al.
Publicado: (2025)
por: Kim, Dangchan, et al.
Publicado: (2025)
Time-Series Anomaly Classification for Launch Vehicle Propulsion Systems: Fast Statistical Detectors Enhancing LSTM Accuracy and Data Quality
por: Engelstad, Sean P., et al.
Publicado: (2026)
por: Engelstad, Sean P., et al.
Publicado: (2026)
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
por: Zou, Joanna, et al.
Publicado: (2026)
por: Zou, Joanna, et al.
Publicado: (2026)
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
por: Bull, Lawrence A., et al.
Publicado: (2024)
por: Bull, Lawrence A., et al.
Publicado: (2024)
A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
por: Siddiqui, Md. Saiful Bari, et al.
Publicado: (2025)
por: Siddiqui, Md. Saiful Bari, et al.
Publicado: (2025)
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training
por: Sakai, Taigo, et al.
Publicado: (2025)
por: Sakai, Taigo, et al.
Publicado: (2025)
An Empirical Study: Extensive Deep Temporal Point Process
por: Lin, Haitao, et al.
Publicado: (2021)
por: Lin, Haitao, et al.
Publicado: (2021)
Adaptive Semi-Supervised Training of P300 ERP-BCI Speller System with Minimum Calibration Effort
por: Chen, Shumeng, et al.
Publicado: (2026)
por: Chen, Shumeng, et al.
Publicado: (2026)
EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes
por: Stockman, Samuel, et al.
Publicado: (2024)
por: Stockman, Samuel, et al.
Publicado: (2024)
Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy
por: Zhou, Ya, et al.
Publicado: (2025)
por: Zhou, Ya, et al.
Publicado: (2025)
Confidence interval estimation of mixed oil length with conditional diffusion model
por: Yang, Yanfeng, et al.
Publicado: (2024)
por: Yang, Yanfeng, et al.
Publicado: (2024)
Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model
por: Dong, Yiwei, et al.
Publicado: (2024)
por: Dong, Yiwei, et al.
Publicado: (2024)
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
por: Zhang, Chengyuan, et al.
Publicado: (2024)
por: Zhang, Chengyuan, et al.
Publicado: (2024)
PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models
por: Schlender, Thalea, et al.
Publicado: (2025)
por: Schlender, Thalea, et al.
Publicado: (2025)
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
por: Arai, Yamato, et al.
Publicado: (2025)
por: Arai, Yamato, et al.
Publicado: (2025)
Adaptive Degradation Process with Deep Learning-Driven Trajectory
por: Yang, Li
Publicado: (2021)
por: Yang, Li
Publicado: (2021)
Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions
por: Toure, Mame Diarra, et al.
Publicado: (2026)
por: Toure, Mame Diarra, et al.
Publicado: (2026)
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
por: Zhang, Weijia, et al.
Publicado: (2024)
por: Zhang, Weijia, et al.
Publicado: (2024)
Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion
por: Su, Baozhuo, et al.
Publicado: (2025)
por: Su, Baozhuo, et al.
Publicado: (2025)
Bayesian Deployment Approval for Learned Landing Controllers under Finite Rollout Validation
por: Jiang, Fei, et al.
Publicado: (2026)
por: Jiang, Fei, et al.
Publicado: (2026)
Momentum Capture and Prediction System Based on Wimbledon Open2023 Tournament Data
por: Liu, Chang, et al.
Publicado: (2024)
por: Liu, Chang, et al.
Publicado: (2024)
How to Correctly Report LLM-as-a-Judge Evaluations
por: Lee, Chungpa, et al.
Publicado: (2025)
por: Lee, Chungpa, et al.
Publicado: (2025)
Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
por: Geng, Jialiang, et al.
Publicado: (2025)
por: Geng, Jialiang, et al.
Publicado: (2025)
Flexible and Efficient Drift Detection without Labels
por: Tan, Nelvin, et al.
Publicado: (2025)
por: Tan, Nelvin, et al.
Publicado: (2025)
Why Heuristic Weighting Works: A Theoretical Analysis of Denoising Score Matching
por: Zhang, Juyan, et al.
Publicado: (2025)
por: Zhang, Juyan, et al.
Publicado: (2025)
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
por: Diao, Tingting, et al.
Publicado: (2025)
por: Diao, Tingting, et al.
Publicado: (2025)
Error-controlled non-additive interaction discovery in machine learning models
por: Chen, Winston, et al.
Publicado: (2024)
por: Chen, Winston, et al.
Publicado: (2024)
A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM
por: Zhang, Yongan, et al.
Publicado: (2024)
por: Zhang, Yongan, et al.
Publicado: (2024)
Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
por: Xu, Zhiyu, et al.
Publicado: (2025)
por: Xu, Zhiyu, et al.
Publicado: (2025)
A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention
por: Dong, Audrey, et al.
Publicado: (2025)
por: Dong, Audrey, et al.
Publicado: (2025)
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
por: Jiang, Manrui, et al.
Publicado: (2026)
por: Jiang, Manrui, et al.
Publicado: (2026)
Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions
por: Lin, Gefei, et al.
Publicado: (2026)
por: Lin, Gefei, et al.
Publicado: (2026)
How Should We Represent History in Interpretable Models of Clinical Policies?
por: Matsson, Anton, et al.
Publicado: (2024)
por: Matsson, Anton, et al.
Publicado: (2024)
Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation
por: Ma, Jingying, et al.
Publicado: (2025)
por: Ma, Jingying, et al.
Publicado: (2025)
DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
por: Ye, Feng, et al.
Publicado: (2024)
por: Ye, Feng, et al.
Publicado: (2024)
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements
por: Bouman, Roel, et al.
Publicado: (2024)
por: Bouman, Roel, et al.
Publicado: (2024)
Ejemplares similares
-
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
por: Liu, Xueqing, et al.
Publicado: (2023) -
DemandLens: Enhancing Forecast Accuracy Through Product-Specific Hyperparameter Optimization
por: Pillai, Srijesh, et al.
Publicado: (2025) -
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
por: Lindas, Eloi, et al.
Publicado: (2025) -
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
por: Han, Sangil, et al.
Publicado: (2025) -
Differentially private synthesis of Spatial Point Processes
por: Kim, Dangchan, et al.
Publicado: (2025)