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 1351–1400 of 2050 papers

TitleStatusHype
Model family selection for classification using Neural Decision Trees—0
Open Problem: Model Selection for Contextual Bandits—0
Offline detection of change-points in the mean for stationary graph signalsCode0
Selecting Diverse Models for Scientific Insight—0
Towards an Unsupervised Method for Model Selection in Few-Shot Learning—0
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification—0
Hidden Markov Models Applied To Intraday Momentum Trading With Side Information—0
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining—0
Regret Balancing for Bandit and RL Model Selection—0
Speedy Performance Estimation for Neural Architecture SearchCode0
Double Descent Risk and Volume Saturation Effects: A Geometric Perspective—0
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach—0
Virtual Reference Feedback Tuning with data-driven reference model selection—0
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms—0
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits—0
DGSAC: Density Guided Sampling and Consensus—0
Unsupervised Discretization by Two-dimensional MDL-based HistogramCode0
Variational Inference and Learning of Piecewise-linear Dynamical Systems—0
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction—0
Quantized Neural Networks: Characterization and Holistic Optimization—0
Sig-SDEs model for quantitative finance—0
Solution Path Algorithm for Twin Multi-class Support Vector MachineCode0
Revealing consensus and dissensus between network partitions—0
Selective Inference for Latent Block Models—0
Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model—0
Learning Equations from Biological Data with Limited Time SamplesCode0
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law—0
Marginal likelihood computation for model selection and hypothesis testing: an extensive review—0
Forward utilities and Mean-field games under relative performance concerns—0
Systematic Ensemble Model Selection Approach for Educational Data Mining—0
Robust Lasso-Zero for sparse corruption and model selection with missing covariatesCode0
Lossy Compression with Distortion Constrained Optimization—0
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data IntegrationCode0
Spiking Neural Networks Hardware Implementations and Challenges: a Survey—0
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
Automatic Catalog of RRLyrae from 14 million VVV Light Curves: How far can we go with traditional machine-learning?Code0
Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence—0
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
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
Coupled differentiation and division of embryonic stem cells inferred from clonal snapshots—0
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
Inferring Network Structure From Data—0
Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage—0
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough PatentsCode0
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training—0
Show:102550
← PrevPage 28 of 41Next →

No leaderboard results yet.