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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 251–275 of 2050 papers

TitleStatusHype
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures—0
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization—0
High-Dimensional Dynamic Covariance Models with Random Forests—0
Exploring the Potential of SSL Models for Sound Event Detection—0
Thompson Sampling-like Algorithms for Stochastic Rising Bandits—0
Zero-Shot Forecasting Mortality Rates: A Global Study—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
Supervised Models Can Generalize Also When Trained on Random LabelCode0
MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model SelectionCode0
A Systematic Analysis of Base Model Choice for Reward Modeling—0
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework—0
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection—0
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization—0
Reassessing Large Language Model Boolean Query Generation for Systematic Reviews—0
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model—0
High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality—0
Robust & Precise Knowledge Distillation-based Novel Context-Aware Predictor for Disease Detection in Brain and Gastrointestinal—0
Multimodal Benchmarking and Recommendation of Text-to-Image Generation ModelsCode0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example—0
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class PredictionCode0
Machine Learning: a Lecture Note—0
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER—0
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling—0
ReeM: Ensemble Building Thermodynamics Model for Efficient HVAC Control via Hierarchical Reinforcement Learning—0
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination—0
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