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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 1576–1600 of 2050 papers

TitleStatusHype
AutoAI-TS: AutoAI for Time Series Forecasting—0
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting—0
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID—0
Automated Model Selection for Generalized Linear Models—0
Automated Model Selection for Time-Series Anomaly Detection—0
Automated Model Selection with Bayesian Quadrature—0
Automatic Componentwise Boosting: An Interpretable AutoML System—0
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands—0
Automatic Dimension Selection for a Non-negative Factorization Approach to Clustering Multiple Random Graphs—0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference—0
Automatic Model Selection for Neural Networks—0
Automatic Relevance Determination For Deep Generative Models—0
Automatic Response Category Combination in Multinomial Logistic Regression—0
Automatic Selection of t-SNE Perplexity—0
Automatic Unsupervised Outlier Model Selection—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI—0
AutoML-GPT: Large Language Model for AutoML—0
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting—0
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors—0
A variational synthesis of evolutionary and developmental dynamics—0
A Vision for Semantically Enriched Data Science—0
Awkt: A Physicochemical Parameter Estimation Tool for Capillary Zone Electrophoresis—0
A Work Zone Simulation Model for Travel Time Prediction in a Connected Vehicle Environment—0
Bandit-Based Model Selection for Deformable Object Manipulation—0
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