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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 1051–1100 of 2050 papers

TitleStatusHype
Multi-Objective Model Selection for Time Series Forecasting—0
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments—0
Fitting Sparse Markov Models to Categorical Time Series Using Regularization—0
Loss-guided Stability Selection—0
Dependence model assessment and selection with DecoupleNets—0
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series—0
Discovering Distribution Shifts using Latent Space RepresentationsCode0
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing—0
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion—0
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study—0
Learning Curves for Decision Making in Supervised Machine Learning: A Survey—0
The Time-Varying Multivariate Autoregressive Index Model—0
Evaluation of HTR models without Ground Truth MaterialCode0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics—0
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection—0
Self-directed Machine Learning—0
Have I done enough planning or should I plan more?Code0
Deep Learning and Linear Programming for Automated Ensemble Forecasting and InterpretationCode0
Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples—0
A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding programCode0
Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces—0
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation—0
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
Latent Time Neural Ordinary Differential Equations—0
Model Selection in Batch Policy Optimization—0
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against Myeloproliferative Neoplasms—0
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization—0
Housing Price Prediction Model Selection Based on Lorenz and Concentration Curves: Empirical Evidence from Tehran Housing Market—0
Fair Community Detection and Structure Learning in Heterogeneous Graphical Models—0
Automatic Unsupervised Outlier Model Selection—0
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection—0
Hierarchical clustering: visualization, feature importance and model selectionCode0
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data StreamsCode0
Pessimistic Model Selection for Offline Deep Reinforcement Learning—0
Fast and Informative Model Selection using Learning Curve Cross-ValidationCode0
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors—0
Learning Conditional Invariance through Cycle ConsistencyCode0
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology—0
Linearised Laplace Inference in Networks with Normalisation Layers and the Neural g-Prior—0
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion—0
Machine Learning-Assisted Analysis of Small Angle X-ray Scattering—0
Towards Better Citation Intent Classification—0
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning—0
Optimizing Unlicensed Coexistence Network Performance Through Data Learning—0
A Rule-Based Epidemiological Modelling Framework—0
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis—0
Universal and data-adaptive algorithms for model selection in linear contextual bandits—0
Joint Inference for Neural Network Depth and Dropout RegularizationCode0
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