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 1226–1250 of 2050 papers

TitleStatusHype
The temporal overfitting problem with applications in wind power curve modelingCode0
Task-Agnostic Amortized Inference of Gaussian Process HyperparametersCode1
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data—0
Proximity Operator of the Matrix Perspective Function and its Applications—0
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre studyCode0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
Physics-Informed Neural State Space Models via Learning and Evolution—0
Finding the Homology of Decision Boundaries with Active LearningCode0
Online Model Selection for Reinforcement Learning with Function Approximation—0
MOFA: Modular Factorial Design for Hyperparameter Optimization—0
A Survey and Implementation of Performance Metrics for Self-Organized MapsCode1
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodelCode0
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient—0
Nonparametric Variable Screening with Optimal Decision Stumps—0
Evaluating Word Embeddings on Low-Resource Languages—0
Estimation vs Metrics: is QE Useful for MT Model Selection?—0
Predictive Model Selection for Transfer Learning in Sequence Labeling Tasks—0
On the Impact of Communities on Semi-supervised Classification Using Graph Neural NetworksCode0
A Bayesian Perspective on Training Speed and Model Selection—0
Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-19—0
Probing Task-Oriented Dialogue Representation from Language Models—0
Learning from missing data with the Latent Block Model—0
Spike and slab variational Bayes for high dimensional logistic regression—0
Model Selection for Signal Processing: a Minimum Error Approach and a General Performance Analysis—0
Model selection in reconciling hierarchical time seriesCode0
Show:102550
← PrevPage 50 of 82Next →

No leaderboard results yet.