Predicting good probabilities with supervised learning
Alexandru Niculescu-Mizil, Rich Caruana
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Citation edge evidence
- On Calibration of Modern Neural Networks→Predicting good probabilities with supervised learningLegacy edge — source detail unavailable
- Decision trees: a recent overview→Predicting good probabilities with supervised learningLegacy edge — source detail unavailable
- Design challenges and misconceptions in named entity recognition→Predicting good probabilities with supervised learningLegacy edge — source detail unavailable
- Predicting good probabilities with supervised learning→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
- Predicting good probabilities with supervised learning→Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likeliho…Legacy edge — source detail unavailable
- Predicting good probabilities with supervised learning→Making Large-Scale SVM Learning PracticalLegacy edge — source detail unavailable
- Predicting good probabilities with supervised learning→Order Restricted Statistical Inference.Legacy edge — source detail unavailable
- On Calibration of Modern Neural Networks→Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likeliho…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| On Calibration of Modern Neural Networks | 2017 | 1,741 |
| Decision trees: a recent overview | 2011 | 1,577 |
| Design challenges and misconceptions in named entity recognition | 2009 | 1,491 |
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Topics
| Machine Learning and Data Classification | Computer Science |
| Neural Networks and Applications | Computer Science |
| Anomaly Detection Techniques and Applications | Computer Science |
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