Flow
Moa implementation of LeveragingBag
166 runs0 likes1 downloads1 reach0 impact
Moa implementation of LeveragingBag
166 runs0 likes1 downloads1 reach0 impact
Moa implementation of LeveragingBag
105 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
143 runs0 likes1 downloads1 reach0 impact
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
29 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
87 runs0 likes1 downloads1 reach0 impact
Moa implementation of WEKAClassifier
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
47 runs0 likes1 downloads1 reach0 impact
Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
78 runs0 likes1 downloads1 reach0 impact
Moa implementation of WEKAClassifier
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Moa implementation of LeveragingBag
20 runs0 likes2 downloads2 reach1 impact
Moa implementation of AccuracyWeightedEnsemble
31 runs0 likes1 downloads1 reach0 impact
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.
1391 runs0 likes7 downloads7 reach1387 impact
Weka implementation of FilteredClassifier
1216 runs0 likes4 downloads4 reach1214 impact
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
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
1166 runs0 likes3 downloads3 reach1165 impact
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
1189 runs0 likes2 downloads2 reach1188 impact
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
40298 runs0 likes11 downloads11 reach728 impact
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…
1039 runs0 likes2 downloads2 reach55 impact
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…
0 runs0 likes1 downloads1 reach0 impact
Weka implementation of BayesNet
10761 runs0 likes5 downloads5 reach619 impact
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…
12795 runs0 likes10 downloads10 reach154 impact
H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
112 runs0 likes2 downloads2 reach6 impact
Weka implementation of RBFKernel
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Weka implementation of KernelLogisticRegression
4621 runs0 likes2 downloads2 reach52 impact
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…
1207 runs0 likes2 downloads2 reach82 impact
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,…
1208 runs0 likes2 downloads2 reach5 impact
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,…
1206 runs0 likes2 downloads2 reach20 impact
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
827 runs0 likes2 downloads2 reach6 impact
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…
120 runs0 likes2 downloads2 reach6 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
6162 runs0 likes2 downloads2 reach244 impact
M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.
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Weka implementation of AttributeSelectedClassifier
1212 runs0 likes2 downloads2 reach100 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
11893 runs0 likes4 downloads4 reach68 impact
Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
1131 runs0 likes1 downloads1 reach0 impact
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.…
1082 runs0 likes1 downloads1 reach0 impact
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…
1130 runs0 likes1 downloads1 reach0 impact
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.
1139 runs0 likes1 downloads1 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
5944 runs0 likes2 downloads2 reach372 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
5696 runs0 likes1 downloads1 reach0 impact
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.
1135 runs0 likes1 downloads1 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…
5814 runs0 likes2 downloads2 reach172 impact
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.…
5531 runs0 likes2 downloads2 reach0 impact
Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
1161 runs0 likes2 downloads2 reach34 impact
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.
1 runs0 likes1 downloads1 reach0 impact
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.
9102 runs0 likes3 downloads3 reach56 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
8855 runs0 likes2 downloads2 reach180 impact
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.
3 runs0 likes2 downloads2 reach2 impact
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
1 runs0 likes2 downloads2 reach0 impact
The performanceEstimation standardWF using svm as the learner
21 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
27 runs0 likes1 downloads1 reach0 impact
Moa implementation of WEKAClassifier
0 runs0 likes0 downloads0 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
1 runs0 likes1 downloads1 reach0 impact
Moa implementation of WEKAClassifier
0 runs0 likes0 downloads0 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
1 runs0 likes1 downloads1 reach0 impact
Moa implementation of WEKAClassifier
0 runs0 likes0 downloads0 reach0 impact
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.
0 runs0 likes0 downloads0 reach0 impact
The performanceEstimation standardWF using kNN as the learner
3 runs0 likes1 downloads1 reach0 impact
Usama M. Fayyad, Keki B. Irani: Multi-interval discretization of continuousvalued attributes for classification learning. In: Thirteenth International Joint Conference on Articial Intelligence,…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
13669 runs0 likes4 downloads4 reach144 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForest from package(s) randomForest.
50 runs0 likes2 downloads2 reach5 impact
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…
1 runs0 likes1 downloads1 reach0 impact
Learner classif.binomial from package(s) stats.
3 runs0 likes1 downloads1 reach0 impact
Please take some time and write a description of your algorithm/changes compared with the previous version/etc. here.
1 runs0 likes1 downloads1 reach0 impact
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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