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 551–600 of 2050 papers

TitleStatusHype
Bayesian stochastic blockmodeling—0
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation—0
A data-centric approach to class-specific bias in image data augmentation—0
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial—0
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming—0
Bayesian Robust Tensor Factorization for Incomplete Multiway Data—0
Bayesian Regression for Predicting Subscription to Bank Term Deposits in Direct Marketing Campaigns—0
An Instrumental Variables Approach to Testing Firm Conduct—0
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems—0
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach—0
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer—0
A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth—0
Bayesian Optimization for Selecting Efficient Machine Learning Models—0
Bayesian optimization for automated model selection—0
Bayesian Nonparametrics: An Alternative to Deep Learning—0
An Information-Theoretic Approach to Transferability in Task Transfer Learning—0
Adaptive variational Bayes: Optimality, computation and applications—0
Gmail Smart Compose: Real-Time Assisted Writing—0
Efficient Model Compression for Bayesian Neural Networks—0
Bayesian Network Models for Adaptive Testing—0
Bayesian Model Selection via Mean-Field Variational Approximation—0
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction—0
An information criterion for auxiliary variable selection in incomplete data analysis—0
Efficient Bias Mitigation Without Privileged Information—0
Efficient Cross-Validation for Semi-Supervised Learning—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification—0
Easy Transfer Learning By Exploiting Intra-domain Structures—0
Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs—0
Bayesian Model Selection for Change Point Detection and Clustering—0
An Homotopy Algorithm for the Lasso with Online Observations—0
4-D Epanechnikov Mixture Regression in Light Field Image Compression—0
Efficient Deep Reinforcement Learning Requires Regulating Overfitting—0
Dimension Independent Generalization Error by Stochastic Gradient Descent—0
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces—0
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood—0
Dimensionality Detection and Integration of Multiple Data Sources via the GP-LVM—0
Dimensionality Dependent PAC-Bayes Margin Bound—0
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors—0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition—0
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning—0
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation—0
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle—0
Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm—0
DiffusionGPT: LLM-Driven Text-to-Image Generation System—0
Dirichlet Process Parsimonious Mixtures for clustering—0
Bayesian leave-one-out cross-validation for large data—0
Bayesian Learning with Wasserstein Barycenters—0
Bayesian Model Selection of Stochastic Block Models—0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
Show:102550
← PrevPage 12 of 41Next →

No leaderboard results yet.