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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 1751–1775 of 2050 papers

TitleStatusHype
Cost-Sensitive Learning for Predictive Maintenance—0
Coupled differentiation and division of embryonic stem cells inferred from clonal snapshots—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
Cross Validation Based Model Selection via Generalized Method of Moments—0
Crowd-SFT: Crowdsourcing for LLM Alignment—0
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation—0
DataAssist: A Machine Learning Approach to Data Cleaning and Preparation—0
Data-driven calibration of linear estimators with minimal penalties—0
Data-Driven Learning of the Number of States in Multi-State Autoregressive Models—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Data-Driven Online Model Selection With Regret Guarantees—0
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data—0
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models—0
Dataless Model Selection with the Deep Frame Potential—0
Machine Learning Inference on Inequality of Opportunity—0
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs—0
Decision-Aware Predictive Model Selection for Workforce Allocation—0
Decision Making with Machine Learning and ROC Curves—0
Understanding Short-Term Implied Volatility Dynamics: A Model-Independent Approach Beyond Stochastic Volatility—0
Deep Bayes Factors—0
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