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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 51–75 of 2050 papers

TitleStatusHype
Exploring the Potential of SSL Models for Sound Event Detection—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model SelectionCode0
A Systematic Analysis of Base Model Choice for Reward Modeling—0
Supervised Models Can Generalize Also When Trained on Random LabelCode0
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework—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
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection—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
Machine Learning: a Lecture Note—0
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
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling—0
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination—0
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER—0
ReeM: Ensemble Building Thermodynamics Model for Efficient HVAC Control via Hierarchical Reinforcement Learning—0
A Practitioner's Guide to Automatic Kernel Search for Gaussian Processes in Battery Applications—0
A-DARTS: Stable Model Selection for Data Repair in Time SeriesCode0
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM SelectionCode1
Generative diffusion model surrogates for mechanistic agent-based biological models—0
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework—0
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