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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 951–1000 of 2050 papers

TitleStatusHype
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity—0
Continuous Bayesian Model Selection for Multivariate Causal Discovery—0
InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries—0
Sensitivity to control signals in triphasic rhythmic neural systems: a comparative mechanistic analysis via infinitesimal local timing response curves—0
Inferring bias and uncertainty in camera calibration—0
Convergence Properties of Kronecker Graphical Lasso Algorithms—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
Inferring Latent dimension of Linear Dynamical System with Minimum Description Length—0
Inferring Network Structure From Data—0
Convex Techniques for Model Selection—0
Bayesian CART models for insurance claims frequency—0
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality—0
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models—0
Bayesian Boosting for Linear Mixed Models—0
Information criteria for non-normalized models—0
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization—0
Informative Bayesian model selection for RR Lyrae star classifiers—0
Correcting Model Bias with Sparse Implicit Processes—0
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs—0
Instruction-Guided Autoregressive Neural Network Parameter Generation—0
Detecting adaptive evolution in phylogenetic comparative analysis using the Ornstein-Uhlenbeck model—0
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features—0
Interpretability in Linear Brain Decoding—0
Cost-efficient Knowledge-based Question Answering with Large Language Models—0
Bayesian Anomaly Detection and Classification—0
Interpretable Machine Learning for Self-Service High-Risk Decision-Making—0
Interpretable Models for Understanding Immersive Simulations—0
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework—0
Designing Ecosystems of Intelligence from First Principles—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
MF-CLIP: Leveraging CLIP as Surrogate Models for No-box Adversarial Attacks—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors—0
Model Selection for Inverse Reinforcement Learning via Structural Risk Minimization—0
CRIX an index for cryptocurrencies—0
Design and Scheduling of an AI-based Queueing System—0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing—0
Is F_1 Score Suboptimal for Cybersecurity Models? Introducing C_score, a Cost-Aware Alternative for Model Assessment—0
Ising Model Selection Using _1-Regularized Linear Regression: A Statistical Mechanics Analysis—0
Is it worth it? Budget-related evaluation metrics for model selection—0
Is K-fold cross validation the best model selection method for Machine Learning?—0
Bayesian Adaptive Matrix Factorization With Automatic Model Selection—0
Automated Model Selection for Time-Series Anomaly Detection—0
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation—0
Joint Continuous and Discrete Model Selection via Submodularity—0
Automated Model Selection with Bayesian Quadrature—0
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion—0
Kauffman's adjacent possible in word order evolution—0
Detecting seasonal episodic-like spatiotemporal memory patterns using animal movement modelling—0
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