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Derek Lagrouw
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Derek's flows

Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of RandomizableFilteredClassifier
8 runs0 likes0 downloads0 reach3 impact
Weka implementation of RandomizableFilteredClassifier
13 runs0 likes0 downloads0 reach4 impact
Weka implementation of RandomizableFilteredClassifier
9 runs0 likes0 downloads0 reach4 impact
Weka implementation of RandomizableFilteredClassifier
21 runs0 likes0 downloads0 reach5 impact
Weka implementation of FilteredClassifier
159 runs0 likes0 downloads0 reach142 impact
Weka implementation of FilteredClassifier
4 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.
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
1 runs0 likes0 downloads0 reach1 impact
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
5 runs0 likes0 downloads0 reach5 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
13 runs0 likes0 downloads0 reach11 impact
Weka implementation of CostSensitiveClassifier
5 runs0 likes0 downloads0 reach3 impact
Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992. Y. Wang, I. H. Witten: Induction of model trees for…
0 runs0 likes0 downloads0 reach0 impact
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
1 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
16 runs0 likes0 downloads0 reach15 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
10 runs0 likes0 downloads0 reach9 impact
Weka implementation of LinearRegression
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 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,…
335 runs0 likes1 downloads1 reach330 impact
Weka implementation of PolyKernel
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of SimpleLinearRegression
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultiSearch
2 runs0 likes0 downloads0 reach2 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
391 runs1 likes0 downloads1 reach390 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
13 runs0 likes0 downloads0 reach11 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
8 runs0 likes0 downloads0 reach7 impact
Weka implementation of MultilayerPerceptron
291 runs0 likes0 downloads0 reach287 impact
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…
16 runs0 likes0 downloads0 reach15 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
306 runs0 likes0 downloads0 reach304 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.
22 runs0 likes0 downloads0 reach18 impact