Image de couverture de livre

Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ghasemzadeh, Hamzeh, Hillman, Robert E., Mehta, Daryush D.
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Effects of Recording Condition and Number of Monitored Days on Discriminative Power of the Daily Phonotrauma Index
par: Ghasemzadeh, Hamzeh, et autres
Publié: (2024)

Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression
par: Matton, Katie, et autres
Publié: (2025)

A Classical View on Benign Overfitting: The Role of Sample Size
par: Park, Junhyung, et autres
Publié: (2025)

Negotiated Representations to Prevent Overfitting in Machine Learning Applications
par: Korhan, Nuri, et autres
Publié: (2023)

Overfitting In Contrastive Learning?
par: Rabin, Zachary, et autres
Publié: (2024)

Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease
par: Soumma, Shovito Barua, et autres
Publié: (2024)

Covariance-Driven Regression Trees: Reducing Overfitting in CART
par: Zhang, Likun, et autres
Publié: (2026)

Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
par: Laakom, Firas, et autres
Publié: (2025)

More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
par: Simon, James B., et autres
Publié: (2023)

Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
par: Soumma, Shovito Barua, et autres
Publié: (2024)

Testing for Overfitting
par: Schmidt, James
Publié: (2023)

Towards Mitigating Architecture Overfitting on Distilled Datasets
par: Zhong, Xuyang, et autres
Publié: (2023)

Vocal Prognostic Digital Biomarkers in Monitoring Chronic Heart Failure: A Longitudinal Observational Study
par: Wu, Fan, et autres
Publié: (2026)

Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
par: Bao, Wenxuan, et autres
Publié: (2025)

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting
par: Aissi, Mohamed Salim, et autres
Publié: (2024)

Affect Models Have Weak Generalizability to Atypical Speech
par: Narain, Jaya, et autres
Publié: (2025)

Double Descent: Understanding Linear Model Estimation of Nonidentifiable Parameters and a Model for Overfitting
par: Christensen, Ronald
Publié: (2024)

Generalizable Diabetes Risk Stratification via Hybrid Machine Learning Models
par: Parvez, Athar, et autres
Publié: (2025)

Adjusted Overfitting Regression
par: Wilson, Dylan
Publié: (2024)

Large Language Model Enhanced Machine Learning Estimators for Classification
par: Wu, Yuhang, et autres
Publié: (2024)

Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection
par: Almohaimeed, Saad, et autres
Publié: (2025)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
par: Niu, Peisong, et autres
Publié: (2025)

AGMARL-DKS: An Adaptive Graph-Enhanced Multi-Agent Reinforcement Learning for Dynamic Kubernetes Scheduling
par: Hamzeh, Hamed
Publié: (2026)

Benign Overfitting in Out-of-Distribution Generalization of Linear Models
par: Tang, Shange, et autres
Publié: (2024)

ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis
par: Zhang, Zhanqi, et autres
Publié: (2026)

From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
par: Ali, Adnan, et autres
Publié: (2024)

Harmful Overfitting in Sobolev Spaces
par: Karhadkar, Kedar, et autres
Publié: (2026)

Countering Overfitting with Counterfactual Examples
par: Giorgi, Flavio, et autres
Publié: (2025)

PINNs Failure Modes are Overfitting
par: Andersen, Nigel T., et autres
Publié: (2026)

Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
par: Qiao, Dan, et autres
Publié: (2024)

A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding
par: Zhou, Chuan, et autres
Publié: (2025)

The GT-Score: A Robust Objective Function for Reducing Overfitting in Data-Driven Trading Strategies
par: Sheppert, Alexander
Publié: (2026)

Control of Overfitting with Physics
par: Kozyrev, Sergei V., et autres
Publié: (2024)

Benign Overfitting in Single-Head Attention
par: Magen, Roey, et autres
Publié: (2024)

Relative Overfitting and Accept-Reject Framework
par: Liu, Yanxin, et autres
Publié: (2025)

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
par: Nauman, Michal, et autres
Publié: (2024)

Bilateral Distribution Compression: Reducing Both Data Size and Dimensionality
par: Broadbent, Dominic, et autres
Publié: (2025)

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator
par: Bigarella, Enda D. V.
Publié: (2025)

Benign Overfitting with Quantum Kernels
par: Tomasi, Joachim, et autres
Publié: (2025)

Overfitting in Adaptive Robust Optimization
par: Zhu, Karl, et autres
Publié: (2025)