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Note: Links lead to the DBLP on the Web. W. Philip Kegelmeyer Lawrence O. Hall , Kevin W. Bowyer , Robert E. Banfield , Divya Bhadoria , W. Philip Kegelmeyer, Steven Eschrich : Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. ICDM 2003 : 533-536 Robert E. Banfield , Lawrence O. Hall , Kevin W. Bowyer , W. Philip Kegelmeyer: A New Ensemble Diversity Measure Applied to Thinning Ensembles. Multiple Classifier Systems 2003 : 306-316 Nitesh V. Chawla , Thomas E. Moore , Lawrence O. Hall , Kevin W. Bowyer , W. Philip Kegelmeyer, Clayton Springer : Distributed learning with bagging-like performance. Pattern Recognition Letters 24 (1-3): 455-471 (2003) Nitesh V. Chawla , Lawrence O. Hall , Kevin W. Bowyer , Thomas E. Moore , W. Philip Kegelmeyer: Distributed Pasting of Small Votes. Multiple Classifier Systems 2002 : 52-61 Nitesh V. Chawla , Kevin W. Bowyer , Lawrence O. Hall , W. Philip Kegelmeyer: SMOTE: Synthetic Minority Over-sampling Technique. Journal of Artificial Intelligence Research 16 : 321-357 (2002) Nitesh V. Chawla , Thomas E. Moore , Kevin W. Bowyer , Lawrence O. Hall , Clayton Springer , W. Philip Kegelmeyer: Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. BIOKDD 2001 : 50-59 Elizabeth Bradley , Nancy Collins , W. Philip Kegelmeyer: Feature Characterization in Scientific Datasets. IDA 2001 : 1-12 Lawrence O. Hall , Nitesh V. Chawla , Kevin W. Bowyer , W. Philip Kegelmeyer: Learning Rules from Distributed Data. Large-Scale Parallel Data Mining 1999 : 211-220 Kevin Woods , W. Philip Kegelmeyer, Kevin W. Bowyer : Combination of Multiple Classifiers Using Local Accuracy Estimates. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (4): 405-410 (1997) Mark C. Allmen , W. Philip Kegelmeyer: The computation of cloud base height from paired whole-sky imaging cameras. Mach. Vis. Appl. 9 (4): 160-165 (1997) Kevin Woods , Kevin W. Bowyer , W. Philip Kegelmeyer: Combination of Multiple Classifiers Using Local Accuracy Estimates. CVPR 1996 : 391-396 1 [ 2 ] 2 [ 10 ] [ 11 ] 3 [ 11 ] 4 [ 1 ] [ 3 ] [ 4 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] 5 [ 5 ] 6 [ 4 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] 7 [ 5 ] 8 [ 11 ] 9 [ 4 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] 10 [ 6 ] [ 8 ] [ 9 ] 11 [ 6 ] [ 9 ] 12 [ 1 ] [ 3 ] ![]() ©2004 Association for Computing Machinery |