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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 826–850 of 2050 papers

TitleStatusHype
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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