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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 1301–1350 of 2050 papers

TitleStatusHype
Model Selection for Cross-Lingual TransferCode0
On the Role of Supervision in Unsupervised Constituency Parsing—0
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images—0
Short-term prediction of photovoltaic power generation using Gaussian process regression—0
Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search—0
Model Selection for Cross-Lingual Transfer using a Learned Scoring Function—0
A Machine Learning Approach to DoA Estimation and Model Order Selection for Antenna Arrays with Subarray Sampling—0
Small Data, Big Decisions: Model Selection in the Small-Data Regime—0
A first econometric analysis of the CRIX family—0
A Meta-learning based Distribution System Load Forecasting Model Selection Framework—0
Quantile Factor Models—0
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts—0
CRIX an index for cryptocurrencies—0
Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum ProblemCode0
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap—0
Better Model Selection with a new Definition of Feature Importance—0
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a ReviewCode0
Temporal Answer Set Programming—0
ODIN: Automated Drift Detection and Recovery in Video Analytics—0
SeqROCTM: A Matlab toolbox for the analysis of Sequence of Random Objects driven by Context Tree ModelsCode0
Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model SelectionCode0
Volatility Forecasting with 1-dimensional CNNs via transfer learning—0
Visual Sentiment Analysis from Disaster Images in Social Media—0
Non-parametric generalized linear model—0
Automated Model Selection for Time-Series Anomaly Detection—0
Inference for parameters identified by conditional moment restrictions using a generalized Bierens maximum statistic—0
Minimum discrepancy principle strategy for choosing k in k-NN regressionCode0
Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models—0
Feature Selection Methods for Cost-Constrained Classification in Random Forests—0
Batch Value-function Approximation with Only RealizabilityCode0
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services—0
Individualized Prediction of COVID-19 Adverse outcomes with MLHOCode0
TutorNet: Towards Flexible Knowledge Distillation for End-to-End Speech Recognition—0
Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary OrderCode0
Bayesian Optimization for Selecting Efficient Machine Learning Models—0
Additive interaction modelling using I-priorsCode0
The Minimum Description Length Principle for Pattern Mining: A Survey—0
DeepNNK: Explaining deep models and their generalization using polytope interpolationCode0
Prediction in latent factor regression: Adaptive PCR and beyond—0
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data—0
Behavioral analysis of support vector machine classifier with Gaussian kernel and imbalanced data—0
Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional DataCode0
Learning the Markov order of paths in a network—0
Deep learning for scene recognition from visual data: a survey—0
Learning with tree tensor networks: complexity estimates and model selection—0
Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics—0
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)Code0
The huge Package for High-dimensional Undirected Graph Estimation in R—0
Statistical inference of assortative community structures—0
Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels—0
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