Research map / Learning theory and algorithms / Prediction and decision losses
Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| select active-learning samples by logistic disagreement on label outputs instead of vote entropy | Bagging of 5 CART trees QBC · UCI pendigits active learning | learning curve | No clear effect |
| logistic disagreement on probability outputs instead of KL or JS divergence | Bagging of 5 CART trees QBC · UCI pendigits active learning | learning curve | Helped |
| active learning with committee disagreement instead of random selection | Bagging of 5 CART trees · UCI pendigits active learning | learning curve | Helped |
| unsupervised Error-Ambiguity pruning with logistic loss versus other pruning methods | Bagging of 101 CART trees · UCI datasets ensemble pruning | test error | Helped |
Closest papers by meaning
- EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification (ICML 2025 · similarity 0.86)
- Subsampled Ensemble Can Improve Generalization Tail Exponentially (NeurIPS 2025 · similarity 0.83)
- Learning from Interval Targets (NeurIPS 2025 · similarity 0.83)
- Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation (NeurIPS 2025 · similarity 0.83)
- Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm (NeurIPS 2025 · similarity 0.83)
- Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification (NeurIPS 2026 · similarity 0.82)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.