Flow
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
21 runs0 likes0 downloads0 reach21 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
314 runs0 likes2 downloads2 reach314 impact
Learner classif.gbm from package(s) gbm.
11 runs0 likes2 downloads2 reach0 impact
Learner classif.ksvm from package(s) kernlab.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.nodeHarvest from package(s) nodeHarvest.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.probit from package(s) stats.
7 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
135 runs0 likes0 downloads0 reach135 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
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
136 runs0 likes0 downloads0 reach136 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
182 runs0 likes0 downloads0 reach185 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
396 runs0 likes0 downloads0 reach396 impact
Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of PolyKernel
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of RandomCommittee
0 runs0 likes0 downloads0 reach0 impact
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
8 runs0 likes1 downloads1 reach0 impact
Learner classif.OneR from package(s) RWeka.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.PART from package(s) RWeka.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.ada from package(s) ada.
19 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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.
198 runs0 likes2 downloads2 reach198 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes2 downloads2 reach131 impact
Learner classif.lda from package(s) MASS.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.logreg from package(s) stats.
18 runs0 likes1 downloads1 reach0 impact
Learner classif.lqa from package(s) lqa.
8 runs0 likes1 downloads1 reach0 impact
Learner classif.mlp from package(s) RSNNS.
8 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive. In: Fifth International Conference on Knowledge Discovery and Data Mining, 155-164, 1999.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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 RandomCommittee
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
26 runs0 likes0 downloads0 reach26 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of PrincipalComponents
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of Ranker
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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
3 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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
4 runs0 likes1 downloads1 reach0 impact
Weka implementation of GreedyStepwise
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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
1 runs0 likes1 downloads1 reach0 impact
Kenji Kira, Larry A. Rendell: A Practical Approach to Feature Selection. In: Ninth International Workshop on Machine Learning, 249-256, 1992. Igor Kononenko: Estimating Attributes: Analysis and…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of InfoGainAttributeEval
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
266 runs0 likes2 downloads2 reach266 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of GainRatioAttributeEval
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
423 runs0 likes1 downloads1 reach426 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
152 runs0 likes1 downloads1 reach152 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 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
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
Weka implementation of CostSensitiveClassifier
0 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
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 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 CostSensitiveClassifier
3 runs0 likes0 downloads0 reach3 impact
Weka implementation of RandomCommittee
134 runs0 likes0 downloads0 reach134 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 CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
12 runs0 likes0 downloads0 reach12 impact
example implementation description
2 runs0 likes1 downloads1 reach0 impact
Learner classif.lqa from package(s) lqa.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.mlp from package(s) RSNNS.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.neuralnet from package(s) neuralnet.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.ada from package(s) ada.
38 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
23 runs0 likes1 downloads1 reach0 impact
Learner classif.bartMachine from package(s) bartMachine.
17 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
29 runs0 likes1 downloads1 reach0 impact
Learner classif.JRip from package(s) RWeka.
28 runs0 likes1 downloads1 reach0 impact