SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1501–1550 of 2050 papers

TitleStatusHype
An energy-based comparative analysis of common approaches to text classification in the Legal domain—0
An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
A new approach in model selection for ordinal target variables—0
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization—0
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition—0
An Homotopy Algorithm for the Lasso with Online Observations—0
An information criterion for auxiliary variable selection in incomplete data analysis—0
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction—0
An Information-Theoretic Approach to Transferability in Task Transfer Learning—0
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer—0
An Instrumental Variables Approach to Testing Firm Conduct—0
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation—0
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences—0
Unsupervised Optimisation of GNNs for Node Clustering—0
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts—0
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets—0
Anomaly Detection for an E-commerce Pricing System—0
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models—0
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation—0
An Optimal Likelihood Free Method for Biological Model Selection—0
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery—0
A novel efficient Multi-view traffic-related object detection framework—0
A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification—0
A Novel Parameter-Tying Theorem in Multi-Model Adaptive Systems: Systematic Approach for Efficient Model Selection—0
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence—0
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework—0
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection—0
A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity—0
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock—0
Approximate Leave-one-out Cross Validation for Regression with _1 Regularizers (extended version)—0
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework—0
Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows—0
A Practitioner's Guide to Automatic Kernel Search for Gaussian Processes in Battery Applications—0
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study—0
Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification—0
A Regret-Variance Trade-Off in Online Learning—0
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods—0
A Review of Change of Variable Formulas for Generative Modeling—0
A Review of Cross-Sectional Matrix Exponential Spatial Models—0
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning—0
Arrival Time Prediction for Autonomous Shuttle Services in the Real World: Evidence from Five Cities—0
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor—0
A Rule-Based Epidemiological Modelling Framework—0
A Sentiment Analysis of Medical Text Based on Deep Learning—0
A simple application of FIC to model selection—0
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model—0
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions—0
On The Stability of Interpretable Models—0
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science—0
Show:102550
← PrevPage 31 of 41Next →

No leaderboard results yet.