SOTAVerified

Model Selection

Given a set of candidate models, the goal of Model Selection is to select the model that best approximates the observed data and captures its underlying regularities. Model Selection criteria are defined such that they strike a balance between the goodness of fit, and the generalizability or complexity of the models.

Source: Kernel-based Information Criterion

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1875 of 2050 papers

TitleStatusHype
Efficient Bias Mitigation Without Privileged Information—0
Efficient Cross-Validation for Semi-Supervised Learning—0
Efficient Deep Reinforcement Learning Requires Regulating Overfitting—0
Efficient Distributed Estimation of Inverse Covariance Matrices—0
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification—0
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming—0
Efficient Model Compression for Bayesian Neural Networks—0
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning—0
Efficient Model Selection for Time Series Forecasting via LLMs—0
Efficient model selection in switching linear dynamic systems by graph clustering—0
Efficient Sequential Decision Making with Large Language Models—0
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation—0
EL-MLFFs: Ensemble Learning of Machine Leaning Force Fields—0
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis—0
Empirical analysis in limit order book modeling for Nikkei 225 Stocks with Cox-type intensities—0
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection—0
Empirical Quantitative Analysis of COVID-19 Forecasting Models—0
Empowering Agricultural Insights: RiceLeafBD - A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique—0
Encoding-dependent generalization bounds for parametrized quantum circuits—0
End-to-End Edge AI Service Provisioning Framework in 6G ORAN—0
Energy-Aware Dynamic Neural Inference—0
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants—0
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum—0
Enhancing Certifiable Robustness via a Deep Model Ensemble—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Show:102550
← PrevPage 75 of 82Next →

No leaderboard results yet.