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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 476–500 of 2050 papers

TitleStatusHype
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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