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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 1351–1400 of 2050 papers

TitleStatusHype
Universum Learning for Multiclass SVM—0
Un modèle Bayésien de co-clustering de données mixtes—0
Unraveling Cold Start Enigmas in Predictive Analytics for OTT Media: Synergistic Meta-Insights and Multimodal Ensemble Mastery—0
Unreflected Use of Tabular Data Repositories Can Undermine Research Quality—0
Unsupervised learning of regression mixture models with unknown number of components—0
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection—0
Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance—0
Upper Confidence Bounds for Combining Stochastic Bandits—0
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration—0
Use Of Vapnik-Chervonenkis Dimension in Model Selection—0
Using anomaly detection to support classification of fast running (packaging) processes—0
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies—0
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications—0
Using Kernel Methods and Model Selection for Prediction of Preterm Birth—0
Utilizing AI Language Models to Identify Prognostic Factors for Coronary Artery Disease: A Study in Mashhad Residents—0
U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making—0
V2X System Architecture Utilizing Hybrid Gaussian Process-based Model Structures—0
Validate on Sim, Detect on Real -- Model Selection for Domain Randomization—0
Validating the predictions of mathematical models describing tumor growth and treatment response—0
Variance function estimation in regression model via aggregation procedures—0
Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction—0
Variational approach for learning Markov processes from time series data—0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Variational Inference and Learning of Piecewise-linear Dynamical Systems—0
Variational Inference and Model Selection with Generalized Evidence Bounds—0
Variational Selection of Features for Molecular Kinetics—0
Vector autoregression models with skewness and heavy tails—0
Verifying Learning-Based Robotic Navigation Systems—0
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions—0
View-graph Selection Framework for SfM—0
Virtual Reference Feedback Tuning with data-driven reference model selection—0
A User-based Visual Analytics Workflow for Exploratory Model Analysis—0
Visual Sentiment Analysis from Disaster Images in Social Media—0
Volatility Forecasting with 1-dimensional CNNs via transfer learning—0
Volumes of logistic regression models with applications to model selection—0
Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis—0
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System—0
Wave-shape Function Model Order Estimation by Trigonometric Regression—0
Weighted Leave-One-Out Cross Validation—0
Weighted Likelihood Policy Search with Model Selection—0
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning—0
What are the mechanisms underlying metacognitive learning?—0
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution—0
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development—0
When Is the First Spurious Variable Selected by Sequential Regression Procedures?—0
Which is the best model for my data?—0
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits—0
Why risk matters for protein binder design—0
Within-vector viral dynamics challenges how to model the extrinsic incubation period for major arboviruses: dengue, Zika, and chikungunya—0
Z-AGI Labs at ClimateActivism 2024: Stance and Hate Event Detection on Social Media—0
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