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 1751–1800 of 2050 papers

TitleStatusHype
Cost-Sensitive Learning for Predictive Maintenance—0
Coupled differentiation and division of embryonic stem cells inferred from clonal snapshots—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation—0
CRIX an index for cryptocurrencies—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings—0
Cross Validation Based Model Selection via Generalized Method of Moments—0
Crowd-SFT: Crowdsourcing for LLM Alignment—0
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation—0
DataAssist: A Machine Learning Approach to Data Cleaning and Preparation—0
Data-driven calibration of linear estimators with minimal penalties—0
Data-Driven Learning of the Number of States in Multi-State Autoregressive Models—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Data-Driven Online Model Selection With Regret Guarantees—0
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data—0
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models—0
Dataless Model Selection with the Deep Frame Potential—0
Machine Learning Inference on Inequality of Opportunity—0
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs—0
Decision-Aware Predictive Model Selection for Workforce Allocation—0
Decision Making with Machine Learning and ROC Curves—0
Understanding Short-Term Implied Volatility Dynamics: A Model-Independent Approach Beyond Stochastic Volatility—0
Deep Bayes Factors—0
Deep Clustering using Dirichlet Process Gaussian Mixture and Alpha Jensen-Shannon Divergence Clustering Loss—0
Deep Convolutional Neural Networks for Smile Recognition—0
Deep Elastic Networks with Model Selection for Multi-Task Learning—0
Deep Gaussian Processes—0
Deep learning for scene recognition from visual data: a survey—0
Deep Learning For Smile Recognition—0
Deep Learning Inversion of Electrical Resistivity Data—0
Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis—0
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022—0
On model selection for scalable time series forecasting in transport networks—0
Deep Online Convex Optimization by Putting Forecaster to Sleep—0
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation—0
Deep Time Series Models for Scarce Data—0
Degrees of Freedom and Information Criteria for the Synthetic Control Method—0
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models—0
Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models—0
Dependence model assessment and selection with DecoupleNets—0
Deploying Offline Reinforcement Learning with Human Feedback—0
Derivative-Free Reinforcement Learning: A Review—0
Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case—0
Detecting seasonal episodic-like spatiotemporal memory patterns using animal movement modelling—0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing—0
Design and Scheduling of an AI-based Queueing System—0
Designing Ecosystems of Intelligence from First Principles—0
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework—0
Show:102550
← PrevPage 36 of 41Next →

No leaderboard results yet.