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Miguel Cachada
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Miguel's flows

weka.AttributeSelectedClassifier_LWL_SimpleLogistic (1)
Weka implementation of AttributeSelectedClassifier
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weka.LWL_SimpleLogistic (1)
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…
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weka.RandomSubSpace_J48 (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AttributeSelectedClassifier_Logistic (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_Bagging_MultilayerPerceptron (1)
Weka implementation of AttributeSelectedClassifier
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weka.RandomSubSpace_JRip (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Vote_BayesNet (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_JRip (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LWL_JRip (1)
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…
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weka.RandomSubSpace_KStar (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_Logistic (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Vote_MultilayerPerceptron (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Vote_MultilayerPerceptron (1)
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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weka.AttributeSelectedClassifier_AdaBoostM1_DecisionTable (1)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_DecisionTable (1)
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.Bagging_SMO_NormalizedPolyKernel (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomSubSpace_Logistic (1)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_LWL_SMO_PolyKernel (1)
Weka implementation of AttributeSelectedClassifier
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weka.LWL_SMO_PolyKernel (3)
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…
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weka.AdaBoostM1_JRip (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AttributeSelectedClassifier_SMO_PolyKernel (1)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_Vote_SimpleLogistic (1)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.LWL_RandomForest (4)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Vote_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LWL_NaiveBayes (2)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Vote_KStar (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Vote_KStar (1)
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.AttributeSelectedClassifier_SMO_NormalizedPolyKernel (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_MultilayerPerceptron (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LWL_MultilayerPerceptron (1)
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…
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weka.AttributeSelectedClassifier_RandomCommittee_MultilayerPerceptron (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.RandomCommittee_MultilayerPerceptron (1)
Weka implementation of RandomCommittee
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weka.LWL_ZeroR (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Vote_LMT (1)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.Vote_LMT (2)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_MultilayerPerceptron (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LWL_Logistic (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LWL_Logistic (1)
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…
3 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_SMO_Puk (1)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.SMO_Puk (2)
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.Puk (6)
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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weka.AttributeSelectedClassifier_Vote_SMO (1)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomCommittee_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_Logistic (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_IBk (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_BayesNet (1)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.Bagging_BayesNet (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48 (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_END_ND_J48 (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_Dagging_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Dagging_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_LADTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_LADTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_NBTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_NBTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_DTNB (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_DTNB (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_A1DE (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_A1DE (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_RacedIncrementalLogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.RacedIncrementalLogitBoost_DecisionStump (5)
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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weka.FilteredClassifier_END_ND_J48 (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.END_ND_J48 (5)
Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
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weka.ND_J48 (5)
Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
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weka.FilteredClassifier_MultiBoostAB_OneR (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiBoostAB_JRip (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Dagging_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.Dagging_DecisionStump (5)
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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weka.FilteredClassifier_LADTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.LADTree (8)
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
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weka.FilteredClassifier_NBTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.NBTree (7)
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.
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weka.FilteredClassifier_DTNB (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.DTNB (5)
Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
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weka.FilteredClassifier_A1DE (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.A1DE (29)
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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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_DecisionStump (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_REPTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_REPTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_RandomTree (1)
Weka implementation of FilteredClassifier
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weka.AttributeSelectedClassifier_MultiBoostAB_RandomTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_J48 (1)
Weka implementation of FilteredClassifier
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weka.AttributeSelectedClassifier_MultiBoostAB_J48 (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_OneR (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_OneR (2)
Weka implementation of AttributeSelectedClassifier
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weka.MultiBoostAB_OneR (4)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_JRip (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_MultiBoostAB_JRip (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_IBk (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_NaiveBayes (1)
Weka implementation of FilteredClassifier
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weka.AttributeSelectedClassifier_MultiBoostAB_NaiveBayes (2)
Weka implementation of AttributeSelectedClassifier
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weka.FilteredClassifier_AttributeSelectedClassifier_LogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
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weka.AttributeSelectedClassifier_LogitBoost_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_AttributeSelectedClassifier_RandomSubSpace_REPTree (1)
Weka implementation of FilteredClassifier
39 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_RandomSubSpace_REPTree (2)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact