Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 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,…
108 runs0 likes0 downloads0 reach0 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
0 runs0 likes0 downloads0 reach0 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
0 runs0 likes0 downloads0 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of REPTree
0 runs0 likes0 downloads0 reach0 impact
Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
0 runs0 likes0 downloads0 reach0 impact
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European…
0 runs0 likes0 downloads0 reach0 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.
0 runs0 likes0 downloads0 reach0 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
0 runs0 likes0 downloads0 reach0 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultilayerPerceptron
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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.
0 runs0 likes0 downloads0 reach0 impact
test should be deleted
0 runs0 likes0 downloads0 reach0 impact
test should be deleted
0 runs0 likes0 downloads0 reach0 impact
test should be deleted
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Wikipedia. Euclidean distance. URL http://en.wikipedia.org/wiki/Euclidean_distance.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 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
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 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
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
0 runs0 likes0 downloads0 reach0 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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.
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.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
0 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
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
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.
0 runs0 likes0 downloads0 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.
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.
0 runs0 likes0 downloads0 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
0 runs0 likes0 downloads0 reach0 impact
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European…
0 runs0 likes0 downloads0 reach0 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.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Jerome H. Friedman, Jon Luis Bentley, Raphael Ari Finkel (1977). An Algorithm for Finding Best Matches in Logarithmic Expected Time. ACM Transactions on Mathematics Software. 3(3):209-226. Andrew…
0 runs0 likes0 downloads0 reach0 impact
David M. Mount (2006). ANN Programming Manual. College Park, MD, USA.
0 runs0 likes0 downloads0 reach0 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
0 runs0 likes0 downloads0 reach0 impact
Alina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor. In: ICML'06: Proceedings of the 23rd international conference on Machine learning, New York, NY, USA, 97-104, 2006.
0 runs0 likes0 downloads0 reach0 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation.
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.
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.
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.
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.
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.
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.
0 runs0 likes0 downloads0 reach0 impact