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
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
268 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach54 impact
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
86 runs0 likes2 downloads2 reach54 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.…
514 runs0 likes2 downloads2 reach54 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
59 runs0 likes2 downloads2 reach54 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
339 runs0 likes2 downloads2 reach54 impact
Weka implementation of AttributeSelectedClassifier
477 runs0 likes2 downloads2 reach54 impact
Moa implementation of OzaBag
257 runs0 likes4 downloads4 reach54 impact
A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not…
270 runs0 likes8 downloads8 reach53 impact
Automatically created scikit-learn flow.
55 runs0 likes0 downloads0 reach53 impact
Automatically created scikit-learn flow.
52 runs0 likes0 downloads0 reach52 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
66 runs0 likes2 downloads2 reach52 impact
Weka implementation of KernelLogisticRegression
4621 runs0 likes2 downloads2 reach52 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
69 runs0 likes2 downloads2 reach51 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2692 runs0 likes2 downloads2 reach51 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
62 runs0 likes2 downloads2 reach51 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
56 runs0 likes2 downloads2 reach51 impact
Moa implementation of WeightedEnsemble
181 runs0 likes2 downloads2 reach51 impact
Moa implementation of RuleClassifierNBayes
70 runs0 likes2 downloads2 reach51 impact
Weka implementation of AttributeSelectedClassifier
51 runs0 likes0 downloads0 reach50 impact
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
57 runs0 likes2 downloads2 reach50 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
4295 runs0 likes3 downloads3 reach50 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
58 runs0 likes0 downloads0 reach50 impact
Weka implementation of FilteredClassifier
50 runs0 likes0 downloads0 reach49 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…
805 runs0 likes2 downloads2 reach49 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2353 runs0 likes2 downloads2 reach49 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
60 runs0 likes2 downloads2 reach49 impact
Moa implementation of Perceptron
337 runs0 likes3 downloads3 reach49 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
3395 runs0 likes3 downloads3 reach48 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
219 runs0 likes2 downloads2 reach48 impact
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
56 runs0 likes4 downloads4 reach48 impact
Moa implementation of HoeffdingAdaptiveTree
262 runs0 likes8 downloads8 reach48 impact
Moa implementation of MajorityClass
246 runs0 likes2 downloads2 reach48 impact
Moa implementation of NaiveBayesMultinomial
55 runs0 likes2 downloads2 reach47 impact
Moa implementation of NoChange
63 runs0 likes2 downloads2 reach47 impact
Automatically created scikit-learn flow.
46 runs0 likes0 downloads0 reach46 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2485 runs0 likes2 downloads2 reach46 impact
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
47 runs0 likes7 downloads7 reach46 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
51 runs0 likes2 downloads2 reach46 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
51 runs0 likes2 downloads2 reach46 impact
Moa implementation of StackingAttempt
54 runs0 likes2 downloads2 reach46 impact
Moa implementation of StackingAttemptV2
55 runs0 likes2 downloads2 reach46 impact
Moa implementation of OzaBoost
252 runs0 likes4 downloads4 reach46 impact
Moa implementation of OzaBoostAdwin
201 runs0 likes2 downloads2 reach46 impact
Moa implementation of WEKAClassifier
194 runs0 likes2 downloads2 reach46 impact
Moa implementation of WEKAClassifier
192 runs0 likes2 downloads2 reach46 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
48 runs0 likes0 downloads0 reach46 impact
Weka implementation of FilteredClassifier
47 runs0 likes0 downloads0 reach45 impact
Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
45 runs0 likes1 downloads1 reach45 impact
Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.
50 runs0 likes2 downloads2 reach45 impact
Moa implementation of kNNwithPAW
65 runs0 likes2 downloads2 reach45 impact
Moa implementation of StackingAttemptV2
53 runs0 likes2 downloads2 reach45 impact
Moa implementation of ASHoeffdingTree
246 runs0 likes2 downloads2 reach45 impact
Moa implementation of WEKAClassifier
195 runs0 likes2 downloads2 reach45 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.
47 runs0 likes2 downloads2 reach44 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2512 runs0 likes4 downloads4 reach44 impact
Moa implementation of StackingAttempt
53 runs0 likes2 downloads2 reach44 impact
Moa implementation of NoChange
245 runs0 likes2 downloads2 reach44 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
45 runs0 likes1 downloads1 reach44 impact
Weka implementation of ZeroR
44 runs0 likes0 downloads0 reach43 impact
Weka implementation of FilteredClassifier
44 runs0 likes0 downloads0 reach43 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2514 runs0 likes2 downloads2 reach43 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
590 runs0 likes2 downloads2 reach43 impact
Moa implementation of WEKAClassifier
197 runs0 likes2 downloads2 reach43 impact
Weka implementation of FilteredClassifier
43 runs0 likes0 downloads0 reach42 impact
Moa implementation of OzaBagAdwin
199 runs0 likes3 downloads3 reach42 impact
Moa implementation of WEKAClassifier
301 runs0 likes2 downloads2 reach42 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2329 runs0 likes2 downloads2 reach41 impact
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
43 runs0 likes2 downloads2 reach41 impact
Moa implementation of SGD
417 runs0 likes2 downloads2 reach41 impact
Moa implementation of kNN
258 runs0 likes3 downloads3 reach41 impact
Moa implementation of LeveragingBag
280 runs0 likes2 downloads2 reach41 impact
Moa implementation of FIMTDD
195 runs0 likes3 downloads3 reach41 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2223 runs0 likes2 downloads2 reach40 impact
Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of…
41 runs0 likes2 downloads2 reach40 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2350 runs0 likes2 downloads2 reach40 impact
Moa implementation of AMRulesRegressor
45 runs0 likes2 downloads2 reach40 impact
Moa implementation of RandomHoeffdingTree
63 runs0 likes2 downloads2 reach40 impact
Moa implementation of LeveragingBag
260 runs0 likes2 downloads2 reach40 impact
Moa implementation of WEKAClassifier
194 runs0 likes2 downloads2 reach40 impact
Automatically created scikit-learn flow.
48 runs0 likes0 downloads0 reach40 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2515 runs0 likes3 downloads3 reach39 impact
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
41 runs0 likes2 downloads2 reach39 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
206 runs0 likes2 downloads2 reach39 impact
Moa implementation of RuleClassifier
194 runs0 likes2 downloads2 reach39 impact
Moa implementation of RandomHoeffdingTree
245 runs0 likes4 downloads4 reach39 impact
Weka implementation of FilteredClassifier
41 runs0 likes0 downloads0 reach39 impact
Learner mlr.classif.rpart from package(s) rpart.
39 runs0 likes0 downloads0 reach38 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
743 runs0 likes2 downloads2 reach38 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2193 runs0 likes2 downloads2 reach38 impact
Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach38 impact
Automatically created scikit-learn flow.
39 runs0 likes1 downloads1 reach38 impact
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
39 runs0 likes0 downloads0 reach38 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach37 impact
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
38 runs0 likes3 downloads3 reach37 impact
John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
50 runs0 likes2 downloads2 reach37 impact
Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.
38 runs0 likes2 downloads2 reach37 impact