2003 (7 papers)

• Bshouty NH, Jackson JC, Tamon C. Uniform-distribution attribute noise learnability. Information and Computation 2003;187(2):277-90.
• McDonald RA, Hand DJ, Eckley IA. An empirical comparison of three boosting algorithms on real data sets with artificial class noise. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003;2709:35-44.
• Verbaeten S, Van Assche A. Ensemble methods for noise elimination in classification problems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003;2709:317-25.
• Ling M, Smith D, Milner B. Environmental noise classification for context-aware applications. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003;2736:360-70.
• Sanderson C, Paliwal KK. Structurally noise resistant classifier for multi-modal person verification. Pattern Recog Lett 2003;24(16):3089-99.
• Geibel P, Brefeld U, Wysotzki F. Learning linear classifiers sensitive to example dependent and noisy costs. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003;2810:167-78.
• Llorà X, Goldberg DE. Bounding the effect of noise in multiobjective learning classifier systems. Evol Comput 2003;11(3):278-97.