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» Classification Based on Multiple-Resolution Data View
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IJSI
2008
156views more  IJSI 2008»
14 years 9 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
EVOW
2006
Springer
15 years 1 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...
AIR
2004
113views more  AIR 2004»
14 years 9 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
CEAS
2008
Springer
14 years 11 months ago
A Mail Client Plugin for Privacy-Preserving Spam Filter Evaluation
We describe a plugin extension to the Thunderbird Mail Client to support standardized evaluation of multiple spam filters on private mail streams. Researchers need not view or han...
Mona Mojdeh, Gordon V. Cormack
ML
2002
ACM
141views Machine Learning» more  ML 2002»
14 years 9 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir