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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 701–725 of 2050 papers

TitleStatusHype
mage based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimizationCode0
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption—0
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model AgentsCode0
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data—0
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System—0
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data—0
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation—0
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual TransferCode0
spateGAN: Spatio-Temporal Downscaling of Rainfall Fields Using a cGAN ApproachCode0
Target Variable Engineering—0
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual TransferCode0
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
On the Computational Complexity of Private High-dimensional Model SelectionCode0
Risk Aware Benchmarking of Large Language Models—0
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models—0
Exploring the Maze of Multilingual Modeling—0
SC-Safety: A Multi-round Open-ended Question Adversarial Safety Benchmark for Large Language Models in Chinese—0
A Symmetry-based Framework for Model Selection of Coral Reef Population Growth Models—0
Combining UPerNet and ConvNeXt for Contrails Identification to reduce Global WarmingCode0
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line—0
Understanding prompt engineering may not require rethinking generalization—0
Driver Identification by an Ensemble of CNNs Obtained from Majority-Voting Model SelectionCode0
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction—0
Tuning Large language model for End-to-end Speech Translation—0
LaPLACE: Probabilistic Local Model-Agnostic Causal ExplanationsCode0
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