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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 1351–1375 of 2050 papers

TitleStatusHype
Systematic Ensemble Model Selection Approach for Educational Data Mining—0
Robust Lasso-Zero for sparse corruption and model selection with missing covariatesCode0
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data IntegrationCode0
Lossy Compression with Distortion Constrained Optimization—0
Spiking Neural Networks Hardware Implementations and Challenges: a Survey—0
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label LearningCode1
BayesOpt Adversarial AttackCode1
Disentangling Factors of Variations Using Few Labels—0
TopicNet: Making Additive Regularisation for Topic Modelling AccessibleCode0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition—0
Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence—0
DriveML: An R Package for Driverless Machine LearningCode1
Automatic Catalog of RRLyrae from 14 million VVV Light Curves: How far can we go with traditional machine-learning?Code0
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings—0
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and SuggestionsCode0
Coupled differentiation and division of embryonic stem cells inferred from clonal snapshots—0
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline EvaluationCode1
Boxer: Interactive Comparison of Classifier Results—0
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing—0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear DynamicsCode1
Inferring Network Structure From Data—0
Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage—0
Dataless Model Selection with the Deep Frame Potential—0
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