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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 1676–1700 of 2050 papers

TitleStatusHype
Multi-locus data distinguishes between population growth and multiple merger coalescentsCode0
Effects of sampling skewness of the importance-weighted risk estimator on model selectionCode0
Binary Matrix Factorization via Dictionary Learning—0
A Latent Gaussian Mixture Model for Clustering Longitudinal Data—0
Model selection and parameter inference in phylogenetics using Nested SamplingCode0
Graph-based regularization for regression problems with alignment and highly-correlated designs—0
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI—0
Large-Scale Model Selection with Misspecification—0
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models—0
Piecewise Convex Function Estimation and Model Selection—0
HybridSVD: When Collaborative Information is Not EnoughCode0
Nonparametric Estimation of Low Rank Matrix Valued Function—0
Train on Validation: Squeezing the Data Lemon—0
Combining Linear Non-Gaussian Acyclic Model with Logistic Regression Model for Estimating Causal Structure from Mixed Continuous and Discrete Data—0
Region Detection in Markov Random Fields: Gaussian Case—0
client2vec: Towards Systematic Baselines for Banking Applications—0
Neural Architecture Search with Bayesian Optimisation and Optimal TransportCode0
Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility ReportCode0
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor—0
Deeper Insights into Graph Convolutional Networks for Semi-Supervised LearningCode0
A Work Zone Simulation Model for Travel Time Prediction in a Connected Vehicle Environment—0
Towards a more efficient representation of imputation operators in TPOT—0
Context tree selection for functional dataCode0
Comparing Bayesian Models of Annotation—0
Learning Sparse Neural Networks through L_0 Regularization—0
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