Flow
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE…
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of NormalizedPolyKernel
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B. Uestuen, W.J. Melssen, L.M.C. Buydens (2006). Facilitating the application of Support Vector Regression by using a universal Pearson VII function based kernel. Chemometrics and Intelligent…
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E. T. Frank, X. Xu (2003). Applying propositional learning algorithms to multi-instance data. Department of Computer Science, University of Waikato, Hamilton, NZ.
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A RapidMiner Operator
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A RapidMiner Operator
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A RapidMiner Operator
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Moa implementation of Perceptron
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Moa implementation of Perceptron
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Learner classif.naiveBayes from package(s) e1071.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.rpart from package(s) rpart.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes0 downloads0 reach175 impact
Weka implementation of MathParameter
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Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
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Moa implementation of HoeffdingTree
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J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.randomForest.filtered.oversampled from package(s) mlr, randomForestSRC, randomForest.
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Weka implementation of AttributeSelectedClassifier
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J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
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Weka implementation of AttributeSelectedClassifier
140 runs0 likes0 downloads0 reach3 impact
Learner mlr.classif.randomForest.filtered from package(s) randomForestSRC, randomForest.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Weka implementation of AttributeSelectedClassifier
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Automatically created sub-component.
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Automatically created sub-component.
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Automatically created sub-component.
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Automatically created sub-component.
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Automatically created sub-component.
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Automatically created sub-component.
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Learner mlr.classif.rpart.preproc.filtered from package(s) randomForestSRC, rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner classif.rpart from package(s) rpart.
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Learner mlr.classif.rpart.preproc.filtered from package(s) rpart.
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Learner mlr.classif.rpart.tuned from package(s) rpart.
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Weka implementation of MultiSearch
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Weka implementation of LinearRegression
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Learner mlr.classif.logreg.preproc.filtered from package(s) stats.
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Learner mlr.classif.logreg.preproc from package(s) stats.
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Weka implementation of MultiSearch
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Learner mlr.classif.randomForest.filtered from package(s) randomForest.
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Learner mlr.classif.knn from package(s) class.
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Learner mlr.classif.knn.preproc from package(s) class.
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Learner mlr.classif.ranger from package(s) ranger.
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Learner mlr.classif.rpart.bagged from package(s) rpart.
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Learner mlr.classif.J48.bagged from package(s) RWeka.
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Learner mlr.classif.J48 from package(s) RWeka.
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Learner mlr.classif.ctree.bagged from package(s) party.
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Learner mlr.classif.ctree from package(s) party.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.J48 from package(s) RWeka.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of BayesNet
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Weka implementation of AttributeSelectedClassifier
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J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
176 runs0 likes0 downloads0 reach1 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
145 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
265 runs0 likes0 downloads0 reach7 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
146 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact