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» Learning from Highly Structured Data by Decomposition
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CIKM
2000
Springer
15 years 2 months ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
ICMLA
2004
14 years 11 months ago
Two new regularized AdaBoost algorithms
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
Yijun Sun, Jian Li, William W. Hager
CSUR
2006
135views more  CSUR 2006»
14 years 10 months ago
Adaptive information extraction
The growing availability of on-line textual sources and the potential number of applications of knowledge acquisition from textual data has lead to an increase in Information Extr...
Jordi Turmo, Alicia Ageno, Neus Català
RT
2001
Springer
15 years 2 months ago
Point-Based Impostors for Real-Time Visualization
Abstract. We present a new data structure for encoding the appearance of a geometric model as seen from a viewing region (view cell). This representation can be used in interactive...
Michael Wimmer, Peter Wonka, François X. Si...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
15 years 7 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...