OpenML
Miguel Cachada
Search these flows in more detail

Miguel's flows

Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 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…
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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 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…
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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 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 AttributeSelectedClassifier
2 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.
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 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…
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.
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach0 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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 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 AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 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…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of RandomCommittee
0 runs0 likes0 downloads0 reach0 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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
3 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…
1 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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 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…
3 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
3 runs0 likes0 downloads0 reach0 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,…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
2 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…
1 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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
2 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 FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 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.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
0 runs0 likes0 downloads0 reach0 impact
Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 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.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 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.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
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
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
38 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach2 impact
Weka implementation of FilteredClassifier
39 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact