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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 1926–1950 of 2050 papers

TitleStatusHype
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering—0
Face Recognition Using Deep Multi-Pose Representations—0
Face Recognition using Optimal Representation Ensemble—0
Factor-Augmented Regularized Model for Hazard Regression—0
Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
Factors in Fashion: Factor Analysis towards the Mode—0
fairml: A Statistician's Take on Fair Machine Learning Modelling—0
Fair Community Detection and Structure Learning in Heterogeneous Graphical Models—0
Fast and fully-automated histograms for large-scale data sets—0
Fast and Robust Part-of-Speech Tagging Using Dynamic Model Selection—0
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations—0
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities—0
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)—0
Fast Linear Model Trees by PILOT—0
Fast model selection by limiting SVM training times—0
Fast rates with high probability in exp-concave statistical learning—0
Fast sampling and model selection for Bayesian mixture models—0
Feature-based model selection for object detection from point cloud data—0
Feature Selection Methods for Cost-Constrained Classification in Random Forests—0
Improving classification performance by feature space transformations and model selection—0
Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT—0
Federated Model Search via Reinforcement Learning—0
Feedback-Controlled Sequential Lasso Screening—0
Few-shot Adaptation of Multi-modal Foundation Models: A Survey—0
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