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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 451–500 of 2050 papers

TitleStatusHype
Asymptotic Model Selection for Directed Networks with Hidden Variables—0
Comprehensive Exploration of Synthetic Data Generation: A Survey—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Compressive Nonparametric Graphical Model Selection For Time Series—0
A Novel Parameter-Tying Theorem in Multi-Model Adaptive Systems: Systematic Approach for Efficient Model Selection—0
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference—0
A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data—0
A Local Information Criterion for Dynamical Systems—0
biastest: Testing parameter equality across different models in Stata—0
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction—0
Confidence-based Ensembles of End-to-End Speech Recognition Models—0
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts—0
Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III—0
Conformal Prediction with Upper and Lower Bound Models—0
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion—0
Conjugate Mixture Models for Clustering Multimodal Data—0
Consensual Aggregation on Random Projected High-dimensional Features for Regression—0
Consistencies and inconsistencies between model selection and link prediction in networks—0
Consistent model selection in the spiked Wigner model via AIC-type criteria—0
Consistent Nonparametric Different-Feature Selection via the Sparsest k-Subgraph Problem—0
Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks—0
A Unified Approach to Routing and Cascading for LLMs—0
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing—0
Continual Learning Without Knowing Task Identities: Rethinking Occam's Razor—0
Continuous Bayesian Model Selection for Multivariate Causal Discovery—0
Sensitivity to control signals in triphasic rhythmic neural systems: a comparative mechanistic analysis via infinitesimal local timing response curves—0
Convergence Properties of Kronecker Graphical Lasso Algorithms—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
Convex Techniques for Model Selection—0
Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis—0
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022—0
Corpus-Based Paraphrase Detection Experiments and Review—0
Correcting Model Bias with Sparse Implicit Processes—0
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting—0
Cost-Effective Online Contextual Model Selection—0
Cost-efficient Knowledge-based Question Answering with Large Language Models—0
A novel efficient Multi-view traffic-related object detection framework—0
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID—0
A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation—0
CRIX an index for cryptocurrencies—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings—0
Automated Model Selection for Time-Series Anomaly Detection—0
Cross Validation Based Model Selection via Generalized Method of Moments—0
Automated Model Selection with Bayesian Quadrature—0
Crowd-SFT: Crowdsourcing for LLM Alignment—0
Deep learning for scene recognition from visual data: a survey—0
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