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Massively Collaborative Machine Learning

Massively Collaborative Machine Learning

Created 09-11-2016 by Jason Visibility: public
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
265 runs0 likes0 downloads0 reach7 impact
Weka implementation of BayesNet
290 runs0 likes0 downloads0 reach2 impact
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1144 runs0 likes0 downloads0 reach6 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
298 runs0 likes2 downloads2 reach31 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1196 runs0 likes2 downloads2 reach671 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
308 runs0 likes2 downloads2 reach17 impact
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
257 runs0 likes2 downloads2 reach14 impact
Weka implementation of ConjunctiveRule
269 runs0 likes2 downloads2 reach27 impact
Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
270 runs0 likes2 downloads2 reach35 impact
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
272 runs0 likes3 downloads3 reach3 impact
Weka implementation of HyperPipes
270 runs0 likes2 downloads2 reach36 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,…
400 runs0 likes3 downloads3 reach361 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,…
10467 runs0 likes6 downloads6 reach10428 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
396 runs0 likes0 downloads0 reach396 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
314 runs0 likes2 downloads2 reach314 impact
Weka implementation of MultilayerPerceptron
3391 runs0 likes8 downloads8 reach3391 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
875 runs0 likes5 downloads5 reach875 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.
1203 runs0 likes8 downloads8 reach777 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
873 runs0 likes3 downloads3 reach276 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.
1046 runs0 likes4 downloads4 reach621 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…
335 runs0 likes3 downloads3 reach79 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
2925 runs0 likes10 downloads10 reach683 impact
Weka implementation of RandomTree
489 runs0 likes3 downloads3 reach96 impact
Weka implementation of REPTree
1093 runs0 likes3 downloads3 reach530 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
2900 runs0 likes6 downloads6 reach2064 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
3106 runs0 likes9 downloads9 reach963 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
404 runs0 likes2 downloads2 reach8 impact