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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

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Showing 801–825 of 2050 papers

TitleStatusHype
A simple application of FIC to model selection—0
Unsupervised Model Selection for Variational Disentangled Representation Learning—0
Forward utilities and Mean-field games under relative performance concerns—0
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI—0
Forward and Backward Feature Selection for Query Performance Prediction—0
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation—0
A Sentiment Analysis of Medical Text Based on Deep Learning—0
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models—0
Forecasting Whole-Brain Neuronal Activity from Volumetric Video—0
Forecasting large collections of time series: feature-based methods—0
From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research—0
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs—0
Functional additive models on manifolds of planar shapes and forms—0
Fundamental limits to learning closed-form mathematical models from data—0
Fusion Subspace Clustering for Incomplete Data—0
Fixed effects testing in high-dimensional linear mixed models—0
Fuzzy Fibers: Uncertainty in dMRI Tractography—0
Choice modelling in the age of machine learning - discussion paper—0
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles—0
Gaussian Mixture Clustering Using Relative Tests of Fit—0
Gaussian Process-based Spatial Reconstruction of Electromagnetic fields—0
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria—0
A Rule-Based Epidemiological Modelling Framework—0
A Critical Review of Large Language Models: Sensitivity, Bias, and the Path Toward Specialized AI—0
A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves—0
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