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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 176–200 of 2050 papers

TitleStatusHype
Assumption-lean inference for generalised linear model parametersCode1
Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation CriterionCode1
TensorFlow with user friendly Graphical Framework for object detection APICode1
Fuzzy c-Means Clustering for Persistence DiagramsCode1
Learning Opinion Dynamics From Social TracesCode1
Uncertainty Based Camera Model SelectionCode1
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label LearningCode1
DriveML: An R Package for Driverless Machine LearningCode1
BayesOpt Adversarial AttackCode1
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline EvaluationCode1
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear DynamicsCode1
DEPARA: Deep Attribution Graph for Deep Knowledge TransferabilityCode1
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark StudyCode1
Rethinking Parameter Counting in Deep Models: Effective Dimensionality RevisitedCode1
LIBTwinSVM: A Library for Twin Support Vector MachinesCode1
Evaluating Weakly Supervised Object Localization Methods RightCode1
Source Model Selection for Deep Learning in the Time Series DomainCode1
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive RegularizersCode1
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image SegmentationCode1
Exploiting BERT for End-to-End Aspect-based Sentiment AnalysisCode1
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANsCode1
Interpretable multiclass classification by MDL-based rule listsCode1
BERTScore: Evaluating Text Generation with BERTCode1
Forecasting with time series imagingCode1
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible EvaluationCode1
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