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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 1276–1300 of 2050 papers

TitleStatusHype
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets—0
Hypothesis Testing for Equality of Latent Positions in Random Graphs—0
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory—0
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets—0
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net—0
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach—0
Identifying spatiotemporal dynamics of Ebola in Sierra Leone using virus genomes—0
Identifying Technical Debt and Its Types Across Diverse Software Projects Issues—0
Impact of Loss Model Selection on Power Semiconductor Lifetime Prediction in Electric Vehicles—0
Impact of Missing Values in Machine Learning: A Comprehensive Analysis—0
Improvement of Identification Procedure Using Hybrid Cuckoo Search Algorithm for TurbineGovernor and Excitation System—0
Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes—0
Improving Group Lasso for high-dimensional categorical data—0
Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning—0
Improving Model Robustness Using Causal Knowledge—0
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports—0
Inconsistency of cross-validation for structure learning in Gaussian graphical models—0
Incremental Learning for Fully Unsupervised Word Segmentation Using Penalized Likelihood and Model Selection—0
Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models—0
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity—0
InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries—0
Inferring bias and uncertainty in camera calibration—0
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