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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

Showing 526550 of 2050 papers

TitleStatusHype
How False Data Affects Machine Learning Models in Electrochemistry?Code0
Supervised structure learning0
To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages0
Comparison of model selection techniques for seafloor scattering statistics0
Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count DataCode0
Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?Code0
Unsupervised Video Summarization via Iterative Training and Simplified GANCode0
Saturn: Efficient Multi-Large-Model Deep Learning0
BarcodeBERT: Transformers for Biodiversity AnalysisCode1
Changing the Kernel During Training Leads to Double Descent in Kernel RegressionCode0
An energy-based comparative analysis of common approaches to text classification in the Legal domain0
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models0
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias0
NoMoPy: Noise Modeling in Python0
Optimizing accuracy and diversity: a multi-task approach to forecast combinations0
Evaluating LLP Methods: Challenges and ApproachesCode0
Approximate Leave-one-out Cross Validation for Regression with _1 Regularizers (extended version)0
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive BenchmarkCode0
Causal Q-Aggregation for CATE Model Selection0
mage based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimizationCode0
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption0
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model AgentsCode0
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data0
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System0
spateGAN: Spatio-Temporal Downscaling of Rainfall Fields Using a cGAN ApproachCode0
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