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weka.REPTree (3)
Weka implementation of REPTree
0 runs0 likes0 downloads0 reach0 impact
weka.REPTree (4)
Weka implementation of REPTree
0 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesMultinomial (1)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
36 runs0 likes1 downloads1 reach0 impact
weka.NaiveBayesMultinomialUpdateable (1)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
34 runs0 likes1 downloads1 reach0 impact
weka.NaiveBayesUpdateable (1)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
59 runs0 likes1 downloads1 reach0 impact
weka.GaussianProcesses_PolyKernel (1)
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
17 runs0 likes1 downloads1 reach0 impact
weka.LinearRegression (2)
Weka implementation of LinearRegression
0 runs0 likes0 downloads0 reach0 impact
weka.MultilayerPerceptron (1)
Weka implementation of MultilayerPerceptron
178 runs0 likes1 downloads1 reach0 impact
weka.SimpleLogistic (1)
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…
57 runs0 likes1 downloads1 reach0 impact
weka.RegSMOImproved (1)
S.K. Shevade, S.S. Keerthi, C. Bhattacharyya, K.R.K. Murthy: Improvements to the SMO Algorithm for SVM Regression. In: IEEE Transactions on Neural Networks, 1999. S.K. Shevade, S.S. Keerthi, C.…
0 runs0 likes0 downloads0 reach0 impact
weka.VotedPerceptron (1)
Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
0 runs0 likes0 downloads0 reach0 impact
weka.KStar (1)
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.
58 runs0 likes1 downloads1 reach0 impact
weka.LWL_DecisionStump (1)
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…
56 runs0 likes1 downloads1 reach0 impact
weka.AdditiveRegression_DecisionStump (1)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (1)
Weka implementation of AttributeSelectedClassifier
98 runs0 likes1 downloads1 reach0 impact
weka.CfsSubsetEval (1)
M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.
0 runs0 likes0 downloads0 reach0 impact
weka.BestFirst (1)
Weka implementation of BestFirst
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weka.ClassificationViaRegression_M5P (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
53 runs0 likes1 downloads1 reach0 impact
weka.M5P (1)
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…
25 runs0 likes1 downloads1 reach0 impact
weka.CVParameterSelection_ZeroR (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
52 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_Discretize_J48 (1)
Weka implementation of FilteredClassifier
55 runs0 likes1 downloads1 reach0 impact
weka.Discretize (1)
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.MultiClassClassifier_Logistic (1)
Weka implementation of MultiClassClassifier
51 runs0 likes1 downloads1 reach0 impact
weka.MultiClassClassifierUpdateable_SGD (1)
Weka implementation of MultiClassClassifierUpdateable
55 runs0 likes1 downloads1 reach0 impact
weka.MultiScheme_ZeroR (1)
Weka implementation of MultiScheme
55 runs0 likes1 downloads1 reach0 impact
weka.RandomCommittee_RandomTree (1)
Weka implementation of RandomCommittee
54 runs0 likes1 downloads1 reach0 impact
weka.RandomSubSpace_REPTree (1)
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…
52 runs0 likes1 downloads1 reach0 impact
weka.Vote_ZeroR (1)
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…
52 runs0 likes1 downloads1 reach0 impact
weka.DecisionTable_BestFirst (1)
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
54 runs0 likes1 downloads1 reach0 impact
weka.M5Rules (1)
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…
20 runs0 likes1 downloads1 reach0 impact
weka.PART (1)
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
58 runs0 likes1 downloads1 reach0 impact
weka.LMT (1)
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…
284 runs0 likes2 downloads2 reach0 impact
weka.GaussianProcesses_RBFKernel (1)
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
28 runs0 likes1 downloads1 reach0 impact
weka.Bagging_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
98 runs0 likes1 downloads1 reach0 impact
weka.Bagging_DecisionStump (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
97 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LMT (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
97 runs0 likes1 downloads1 reach0 impact
weka.Bagging_J48 (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
113 runs0 likes1 downloads1 reach0 impact
weka.Bagging_OneR (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
106 runs0 likes1 downloads1 reach0 impact
weka.Bagging_JRip (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
112 runs0 likes1 downloads1 reach0 impact
weka.Bagging_BFTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
97 runs0 likes1 downloads1 reach0 impact
weka.BFTree (1)
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…
26 runs0 likes1 downloads1 reach0 impact
weka.ADTree (1)
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.
21 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LADTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
100 runs0 likes1 downloads1 reach0 impact
weka.LADTree (1)
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
17 runs0 likes1 downloads1 reach0 impact
weka.Bagging_RandomForest (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
96 runs0 likes1 downloads1 reach0 impact
weka.Bagging_NaiveBayes (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
105 runs0 likes1 downloads1 reach0 impact
weka.BayesianLogisticRegression (1)
Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization. URL http://www.stat.rutgers.edu/~madigan/PAPERS/shortFat-v3a.pdf.
3 runs0 likes2 downloads2 reach2 impact
weka.HNB (1)
H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
0 runs0 likes0 downloads0 reach0 impact
weka.GaussianProcesses_PolyKernel (2)
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_MultilayerPerceptron (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
117 runs0 likes1 downloads1 reach0 impact
weka.Bagging_SMO_PolyKernel (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
105 runs0 likes1 downloads1 reach0 impact
weka.SMO_PolyKernel (5)
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.SPegasos (1)
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
43 runs0 likes1 downloads1 reach0 impact
weka.Bagging_IBk (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
112 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LWL_DecisionStump (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
112 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_DecisionStump (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
126 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_RandomTree (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
114 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_RandomForest (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
120 runs0 likes2 downloads2 reach0 impact
weka.MultiBoostAB_REPTree (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
99 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_LMT (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
112 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_J48 (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
94 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_OneR (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
103 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_JRip (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
84 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_BFTree (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
79 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_LADTree (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
106 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_NaiveBayes (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
111 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_MultilayerPerceptron (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
112 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_SMO_PolyKernel (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
114 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_IBk (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
108 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_LWL_DecisionStump (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
95 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_RandomTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
112 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_LMT (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
119 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_REPTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
111 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_J48 (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
105 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_OneR (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
115 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_JRip (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
115 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_BFTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
102 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_LADTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
112 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_RandomForest (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
111 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_NaiveBayes (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
108 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_MultilayerPerceptron (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
103 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_SMO_PolyKernel (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
113 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_IBk (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
108 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_LWL_DecisionStump (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
112 runs0 likes1 downloads1 reach0 impact
weka.A1DE (1)
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
2 runs0 likes1 downloads1 reach0 impact
weka.A2DE (1)
Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
2 runs0 likes1 downloads1 reach0 impact
weka.BayesNet_GeneticSearch (1)
Weka implementation of BayesNet
9 runs0 likes1 downloads1 reach0 impact
weka.GeneticSearch (1)
Weka implementation of GeneticSearch
0 runs0 likes0 downloads0 reach0 impact
weka.BayesNet_HillClimber (1)
Weka implementation of BayesNet
25 runs0 likes1 downloads1 reach0 impact
weka.HillClimber (1)
Weka implementation of HillClimber
0 runs0 likes0 downloads0 reach0 impact
weka.BayesNet_LAGDHillClimber (1)
Weka implementation of BayesNet
21 runs0 likes1 downloads1 reach0 impact
weka.LAGDHillClimber (1)
Weka implementation of LAGDHillClimber
0 runs0 likes0 downloads0 reach0 impact
weka.BayesNet_RepeatedHillClimber (1)
Weka implementation of BayesNet
13 runs0 likes1 downloads1 reach0 impact
weka.RepeatedHillClimber (1)
Weka implementation of RepeatedHillClimber
0 runs0 likes0 downloads0 reach0 impact
weka.BayesNet_SimulatedAnnealing (1)
Weka implementation of BayesNet
19 runs0 likes1 downloads1 reach0 impact
weka.SimulatedAnnealing (1)
R.R. Bouckaert (1995). Bayesian Belief Networks: from Construction to Inference. Utrecht, Netherlands.
0 runs0 likes0 downloads0 reach0 impact
weka.BayesNet_TabuSearch (1)
Weka implementation of BayesNet
21 runs0 likes1 downloads1 reach0 impact
weka.TabuSearch (1)
R.R. Bouckaert (1995). Bayesian Belief Networks: from Construction to Inference. Utrecht, Netherlands.
0 runs0 likes0 downloads0 reach0 impact
weka.BayesNet_TAN (1)
Weka implementation of BayesNet
19 runs0 likes1 downloads1 reach0 impact
weka.TAN (1)
N. Friedman, D. Geiger, M. Goldszmidt (1997). Bayesian network classifiers. Machine Learning. 29(2-3):131-163.
0 runs0 likes0 downloads0 reach0 impact