SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 2050 papers

TitleStatusHype
Forecasting large collections of time series: feature-based methods—0
Forecasting Whole-Brain Neuronal Activity from Volumetric Video—0
Hidden Markov Models Applied To Intraday Momentum Trading With Side Information—0
Forward and Backward Feature Selection for Query Performance Prediction—0
Forward utilities and Mean-field games under relative performance concerns—0
Hierarchical Block Structures and High-resolution Model Selection in Large Networks—0
Higher-order asymptotics for the parametric complexity—0
Bayesian Evidence and Model Selection—0
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection—0
A simple application of FIC to model selection—0
From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research—0
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs—0
Functional additive models on manifolds of planar shapes and forms—0
Fundamental limits to learning closed-form mathematical models from data—0
Fusion Subspace Clustering for Incomplete Data—0
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling—0
Fuzzy Fibers: Uncertainty in dMRI Tractography—0
Classification with Scattering Operators—0
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles—0
Gaussian Mixture Clustering Using Relative Tests of Fit—0
Gaussian Process-based Spatial Reconstruction of Electromagnetic fields—0
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria—0
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science—0
Action-State Dependent Dynamic Model Selection—0
General Bayesian time-varying parameter VARs for predicting government bond yields—0
General Hannan and Quinn Criterion for Common Time Series—0
A new approach in model selection for ordinal target variables—0
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces—0
Convergence Rates of Variational Inference in Sparse Deep Learning—0
Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression—0
Determination of Latent Dimensionality in International Trade Flow—0
Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables—0
A Bayesian Model for Bivariate Causal Inference—0
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory—0
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis—0
Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems—0
Generative diffusion model surrogates for mechanistic agent-based biological models—0
Generative Model Selection Using a Scalable and Size-Independent Complex Network Classifier—0
A Statistical Framework for Model Selection in LSTM Networks—0
Detection of intensity bursts using Hawkes processes: an application to high frequency financial data—0
Geometric and Topological Inference for Deep Representations of Complex Networks—0
Clustering - What Both Theoreticians and Practitioners are Doing Wrong—0
Detection and Evaluation of Clusters within Sequential Data—0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection—0
Global Adaptive Generative Adjustment—0
Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model—0
Bayesian CART models for insurance claims frequency—0
GPT in Data Science: A Practical Exploration of Model Selection—0
Gradient-based Hyperparameter Optimization without Validation Data for Learning fom Limited Labels—0
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality—0
Show:102550
← PrevPage 17 of 41Next →

No leaderboard results yet.