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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 801–850 of 2050 papers

TitleStatusHype
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models—0
Action-State Dependent Dynamic Model Selection—0
Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection—0
From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research—0
CLAMS: A System for Zero-Shot Model Selection for Clustering—0
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model—0
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection—0
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models—0
Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion—0
A simple application of FIC to model selection—0
Unsupervised Model Selection for Variational Disentangled Representation Learning—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
Forward utilities and Mean-field games under relative performance concerns—0
Fuzzy Fibers: Uncertainty in dMRI Tractography—0
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI—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
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
General Hannan and Quinn Criterion for Common Time Series—0
Forecasting Whole-Brain Neuronal Activity from Volumetric Video—0
Forecasting large collections of time series: feature-based methods—0
Convergence Rates of Variational Inference in Sparse Deep Learning—0
Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression—0
Fixed effects testing in high-dimensional linear mixed models—0
Choice modelling in the age of machine learning - discussion paper—0
A Rule-Based Epidemiological Modelling Framework—0
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory—0
A Critical Review of Large Language Models: Sensitivity, Bias, and the Path Toward Specialized AI—0
Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems—0
Generative diffusion model surrogates for mechanistic agent-based biological models—0
Generative Model Selection Using a Scalable and Size-Independent Complex Network Classifier—0
A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves—0
Fitting very flexible models: Linear regression with large numbers of parameters—0
Geometric and Topological Inference for Deep Representations of Complex Networks—0
Fitting Sparse Markov Models to Categorical Time Series Using Regularization—0
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage—0
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor—0
Global Adaptive Generative Adjustment—0
Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model—0
Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks—0
GPT in Data Science: A Practical Exploration of Model Selection—0
Gradient-based Hyperparameter Optimization without Validation Data for Learning fom Limited Labels—0
Find the dimension that counts: Fast dimension estimation and Krylov PCA—0
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