OpenML
Moa implementation of LeveragingBag
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Moa implementation of LeveragingBag
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of LeveragingBag
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Moa implementation of Perceptron
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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Weka implementation of FilteredClassifier
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Weka implementation of Standardize
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Weka implementation of MultiFilter
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Weka implementation of ReplaceMissingValues
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Weka implementation of FilteredClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of PrincipalComponents
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Weka implementation of Ranker
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Weka implementation of PrincipalComponents
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Weka implementation of FilteredClassifier
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G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
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Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
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Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization. URL http://www.stat.rutgers.edu/~madigan/PAPERS/shortFat-v3a.pdf.
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G.F. Cooper, E. Herskovits (1990). A Bayesian method for constructing Bayesian belief networks from databases. G. Cooper, E. Herskovits (1992). A Bayesian method for the induction of probabilistic…
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Weka implementation of BayesNet
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Weka implementation of IsotonicRegression
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Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection. .
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Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
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H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
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Weka implementation of RBFKernel
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Weka implementation of KernelLogisticRegression
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Weka implementation of SimpleLinearRegression
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Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and…
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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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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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S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
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N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic…
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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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M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.
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Weka implementation of AttributeSelectedClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
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P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003. P.…
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Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
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Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
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A.K. Seewald, J. Fuernkranz: An Evaluation of Grading Classifiers. In: Advances in Intelligent Data Analysis: 4th International Conference, Berlin/Heidelberg/New York/Tokyo, 115-124, 2001.
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
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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…
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J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
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Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…
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Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
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Jerzy Stefanowski: The rough set based rule induction technique for classification problems. In: 6th European Congress on Intelligent Techniques and Soft Computing, 109-113, 1998.
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Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
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Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
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Learner regr.rpart from package(s) rpart.
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Learner regr.lm from package(s) stats.
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The performanceEstimation standardWF using svm as the learner
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Learner surv.coxph from package(s) survival.
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Learner classif.J48 from package(s) RWeka.
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Learner regr.randomForest from package(s) randomForest.
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The performanceEstimation standardWF using svm as the learner
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The performanceEstimation standardWF using svm as the learner
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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The performanceEstimation standardWF using rpart as the learner
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The performanceEstimation standardWF using svm as the learner
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The performanceEstimation standardWF using randomForest as the learner
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The performanceEstimation standardWF using bagging as the learner
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The performanceEstimation standardWF using boosting as the learner
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The performanceEstimation standardWF using nnet as the learner
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The performanceEstimation standardWF using qda as the learner
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G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
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The performanceEstimation standardWF using kNN as the learner
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Usama M. Fayyad, Keki B. Irani: Multi-interval discretization of continuousvalued attributes for classification learning. In: Thirteenth International Joint Conference on Articial Intelligence,…
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Weka implementation of FilteredClassifier
13669 runs0 likes4 downloads4 reach144 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Learner classif.randomForest from package(s) randomForest.
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Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
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Learner classif.binomial from package(s) stats.
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Please take some time and write a description of your algorithm/changes compared with the previous version/etc. here.
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Weka implementation of PrincipalComponents
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Weka implementation of REPTree
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Weka implementation of REPTree
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Weka implementation of REPTree
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Weka implementation of REPTree
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