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Weka implementation of CostSensitiveClassifier
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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Weka implementation of ZeroR
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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Weka implementation of PolyKernel
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Weka implementation of NormalizedPolyKernel
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Weka implementation of NormalizedPolyKernel
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Weka implementation of NormalizedPolyKernel
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Weka implementation of PrecomputedKernelMatrixKernel
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Weka implementation of PrecomputedKernelMatrixKernel
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Weka implementation of DecisionStump
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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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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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 implementation of REPTree
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Weka implementation of REPTree
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Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection. .
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Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection. .
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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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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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Weka implementation of PolyKernel
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Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Learner classif.lda from package(s) MASS.
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Weka implementation of BayesNet
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Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1255 runs0 likes5 downloads5 reach158 impact
Weka implementation of ZeroR
1441 runs0 likes4 downloads4 reach338 impact
Weka implementation of Ridor
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R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
1218 runs0 likes3 downloads3 reach121 impact
J. Cendrowska (1987). PRISM: An algorithm for inducing modular rules. International Journal of Man-Machine Studies. 27(4):349-370.
99 runs0 likes2 downloads2 reach26 impact
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
1206 runs0 likes2 downloads2 reach116 impact
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
1213 runs0 likes2 downloads2 reach825 impact
Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.
1128 runs0 likes2 downloads2 reach1094 impact
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
1203 runs0 likes2 downloads2 reach1166 impact
Weka implementation of REPTree
1213 runs0 likes2 downloads2 reach1175 impact
Weka implementation of RandomTree
1218 runs0 likes2 downloads2 reach1181 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
9544 runs0 likes6 downloads6 reach9433 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.
7553 runs0 likes2 downloads2 reach7430 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…
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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…
1208 runs0 likes3 downloads3 reach1097 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
37 runs0 likes1 downloads1 reach0 impact
Geoff Webb: Decision Tree Grafting From the All-Tests-But-One Partition. In: , San Francisco, CA, 1999.
1183 runs0 likes2 downloads2 reach1146 impact
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou: Isolation Forest. In: ICDM, 413-422, 2008.
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R. Quinlan (1986). Induction of decision trees. Machine Learning. 1(1):81-106.
110 runs0 likes2 downloads2 reach93 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.
1262 runs0 likes2 downloads2 reach1149 impact
Joao Gama (2004). Functional Trees. Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees.
1189 runs0 likes2 downloads2 reach1088 impact
Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.
636 runs0 likes2 downloads2 reach568 impact
Weka implementation of DecisionStump
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Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of…
1168 runs0 likes2 downloads2 reach1090 impact
Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
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Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
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William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
1207 runs0 likes2 downloads2 reach1112 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.
543 runs0 likes2 downloads2 reach483 impact
Weka implementation of BestFirst
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Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1201 runs0 likes2 downloads2 reach1164 impact
Weka implementation of ConjunctiveRule
1201 runs0 likes2 downloads2 reach1159 impact
Leland Wilkinson, Anushka Anand,, Tuan Dang : CHIRP: A new classi?er based on Composite Hypercubes on Iterated Random Projection. In: Proceedings of the 17th ACM KDD, 2011.
1083 runs0 likes2 downloads2 reach1037 impact
Weka implementation of HyperPipes
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Weka implementation of InputMappedClassifier
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S. Lievens, B. De Baets, K. Cao-Van (2006). A Probabilistic Framework for the Design of Instance-Based Supervised Ranking Algorithms in an Ordinal Setting. Annals of Operations Research.. Kim Cao-Van…
112 runs0 likes2 downloads2 reach101 impact
G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
1202 runs0 likes2 downloads2 reach1112 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
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D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
3638 runs0 likes3 downloads3 reach3503 impact
John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
1197 runs0 likes2 downloads2 reach1111 impact
Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.
196 runs0 likes2 downloads2 reach183 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…
1195 runs0 likes2 downloads2 reach1151 impact
Weka implementation of PolyKernel
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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Weka implementation of KernelLogisticRegression
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Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008). LIBLINEAR - A Library for Large Linear Classification. URL http://www.csie.ntu.edu.tw/~cjlin/liblinear/.
2404 runs0 likes2 downloads2 reach2256 impact
Weka implementation of LinearRegression
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le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
1177 runs0 likes2 downloads2 reach1116 impact
Weka implementation of MultilayerPerceptron
202 runs0 likes2 downloads2 reach165 impact
Weka implementation of MultilayerPerceptronCS
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Weka implementation of RBFClassifier
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Weka implementation of RBFNetwork
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Weka implementation of RBFRegressor
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Weka implementation of SGD
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Moa implementation of DecisionStump
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Moa implementation of ADACC
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Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
174 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of WEKAClassifier
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