Machine learning: a review of classification and combining techniques

Citation edge evidence

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• Classification Based on Decision Tree Algorithm for Machine Learning→Machine learning: a review of classification and combining techniquesLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→C4.5: Programs for Machine LearningLegacy 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→A Tutorial on Support Vector Machines for Pattern RecognitionLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Genetic AlgorithmsLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Data clusteringLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→The random subspace method for constructing decision forestsLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Bayesian Network ClassifiersLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→An Introduction to Support Vector MachinesLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Fast Effective Rule InductionLegacy 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
• Machine learning: a review of classification and combining techniques→A Survey of Outlier Detection MethodologiesLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→The class imbalance problem: A systematic study1Legacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→On the Optimality of the Simple Bayesian Classifier under Zero-One LossLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Popular Ensemble Methods: An Empirical StudyLegacy 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→Introduction to Bayesian NetworksLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Learning in Graphical ModelsLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→KNN Model-Based Approach in ClassificationLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→The Weighted Majority AlgorithmLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Neural networks for classification: a surveyLegacy edge — source detail unavailable
• Machine learning: a review of classification and combining techniques→Inverse entailment and progolLegacy 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:…→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:…→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
• Fast Effective Rule Induction→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• Bayesian Network Classifiers→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• Bayesian Network Classifiers→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
• Popular Ensemble Methods: An Empirical Study→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• Popular Ensemble Methods: An Empirical Study→An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…Legacy edge — source detail unavailable
• Popular Ensemble Methods: An Empirical Study→Bagging PredictorsLegacy edge — source detail unavailable
• The random subspace method for constructing decision forests→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• The random subspace method for constructing decision forests→Bagging PredictorsLegacy edge — source detail unavailable
• Neural networks for classification: a survey→Bagging PredictorsLegacy edge — source detail unavailable
• A Survey of Outlier Detection Methodologies→Fast Effective Rule InductionLegacy edge — source detail unavailable
• A Survey of Outlier Detection Methodologies→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
• A Survey of Outlier Detection Methodologies→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• On the Optimality of the Simple Bayesian Classifier under Zero-One Loss→Bayesian Network ClassifiersLegacy edge — source detail unavailable
• On the Optimality of the Simple Bayesian Classifier under Zero-One Loss→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• On the Optimality of the Simple Bayesian Classifier under Zero-One Loss→UCI Repository of Machine Learning DatabasesLegacy edge — source detail unavailable
• An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→UCI Repository of machine learning databasesLegacy edge — source detail unavailable
• An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
• An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→On the Optimality of the Simple Bayesian Classifier under Zero-One LossLegacy 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
• An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…→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