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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 1751–1775 of 2050 papers

TitleStatusHype
YOLOv11 Optimization for Efficient Resource UtilizationCode0
Model Selection for Time Series Forecasting: Empirical Analysis of Different EstimatorsCode0
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble LearningCode0
Adaptive Mixtures of Factor AnalyzersCode0
Power side-channel leakage localization through adversarial training of deep neural networksCode0
Model Selection in Bayesian Neural Networks via Horseshoe PriorsCode0
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood MaximizationCode0
ATM: A distributed, collaborative, scalable system for automated machine learningCode0
Automated Adaptation Strategies for Stream LearningCode0
Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?Code0
System Identification via Nuclear Norm RegularizationCode0
Geostatistical Learning: Challenges and OpportunitiesCode0
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model AgentsCode0
GLEMOS: Benchmark for Instantaneous Graph Learning Model SelectionCode0
Model selection in reconciling hierarchical time seriesCode0
Precision-Recall-Gain Curves: PR Analysis Done RightCode0
A novel algebraic approach to time-reversible evolutionary modelsCode0
Towards a performance analysis on pre-trained Visual Question Answering models for autonomous drivingCode0
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic DatasetsCode0
A Bayesian Modelling Framework with Model Comparison for Epidemics with Super-SpreadingCode0
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message LengthCode0
DiTMoS: Delving into Diverse Tiny-Model Selection on MicrocontrollersCode0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural CircuitsCode0
Predictive Analytics of Varieties of PotatoesCode0
Unsupervised Video Summarization via Iterative Training and Simplified GANCode0
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