predictive accuracy

CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models EMNLP 2025 Compressing tree ensembles through Level-wise Optimization and Pruning ICML 2025 Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications AAAI 2025 Optimizing Temperature for Language Models with Multi-Sample Inference ICML 2025 RelGNN: Composite Message Passing for Relational Deep Learning ICML 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 The Hidden Cost of Waiting for Accurate Predictions ICLR 2025 TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting ICML 2025 Towards counterfactual fairness through auxiliary variables ICLR 2025 A Proposal for Scaling the Scaling Laws EACL 2024 Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining ICML 2024 Learning Big Logical Rules by Joining Small Rules IJCAI 2024 Predictive Accuracy-Based Active Learning for Medical Image Segmentation IJCAI 2024 CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification NeurIPS 2022 PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020 Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017 EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines JMLR 2014 Sparse Spectrum Gaussian Process Regression JMLR 2010 Bayesian Ensemble Learning NeurIPS 2006 An Empirical Study of the Use of Relevance Information in Inductive Logic Programming JMLR 2003