Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
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Citation edge evidence
- Statistical Comparisons of Classifiers over Multiple Data Sets→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Semi-Supervised Learning→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Supervised Machine Learning: A Review of Classification Techniques→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Text Classification from Labeled and Unlabeled Documents using EM→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Advanced nonparametric tests for multiple comparisons in the design of experiments in com…→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Large Margin DAG's for Multiclass Classification→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Machine learning: a review of classification and combining techniques→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Cross-Validation→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- KEEL: a software tool to assess evolutionary algorithms for data mining problems→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Adaptive Computation and Machine Learning→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- An extensive comparative study of cluster validity indices→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms→Classification and Regression Trees.Legacy edge — source detail unavailable
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms→Bagging PredictorsLegacy edge — source detail unavailable
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms→Bagging predictorsLegacy edge — source detail unavailable
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
- Semi-Supervised Learning→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
- Semi-Supervised Learning→Bagging PredictorsLegacy edge — source detail unavailable
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…→Bagging PredictorsLegacy edge — source detail unavailable
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
- Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
- Supervised Machine Learning: A Review of Classification Techniques→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
- Supervised Machine Learning: A Review of Classification Techniques→Bagging PredictorsLegacy edge — source detail unavailable
- An extensive comparative study of cluster validity indices→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
- Machine learning: a review of classification and combining techniques→An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees:…Legacy edge — source detail unavailable
- Machine learning: a review of classification and combining techniques→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
- Machine learning: a review of classification and combining techniques→Bagging PredictorsLegacy edge — source detail unavailable
- Machine learning: a review of classification and combining techniques→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→Bagging PredictorsLegacy edge — source detail unavailable
- Advanced nonparametric tests for multiple comparisons in the design of experiments in com…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
- Advanced nonparametric tests for multiple comparisons in the design of experiments in com…→KEEL: a software tool to assess evolutionary algorithms for data mining problemsLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Classification and Regression Trees. | 1986 | 21,044 |
| Bagging Predictors | 1996 | 17,191 |
| Bagging predictors | 1996 | 16,468 |
| UCI Repository of Machine Learning Databases | 1996 | 2,343 |
What cites it, inside the corpus
Links
Topics
| Neural Networks and Applications | Computer Science |
| Evolutionary Algorithms and Applications | Computer Science |
| Machine Learning and Data Classification | Computer Science |
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