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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 1526–1550 of 2050 papers

TitleStatusHype
Network Model Selection Using Task-Focused Minimum Description Length—0
Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis—0
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models—0
Neural Active Learning with Performance Guarantees—0
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics—0
Noise Fit, Estimation Error and a Sharpe Information Criterion—0
NoMoPy: Noise Modeling in Python—0
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification—0
Noncommutative Model Selection and the Data-Driven Estimation of Real Cohomology Groups—0
Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy—0
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows—0
Nonparametric Bayesian inference of the microcanonical stochastic block model—0
Nonparametric Estimation of Low Rank Matrix Valued Function—0
Learning Representations from Dendrograms—0
Non-parametric generalized linear model—0
Nonparametric Hierarchical Clustering of Functional Data—0
Nonparametric Independence Screening via Favored Smoothing Bandwidth—0
Nonparametric Variable Screening with Optimal Decision Stumps—0
Nonparametric weighted stochastic block models—0
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data—0
Nonsparse learning with latent variables—0
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning—0
Not again! Data Leakage in Digital Pathology—0
Fast Approximation and Estimation Bounds of Kernel Quadrature for Infinitely Wide Models—0
Objective Bayesian Analysis for Change Point Problems—0
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