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» Ensemble Methods in Machine Learning
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ESANN
2004
15 years 3 months ago
Data Mining Techniques on the Evaluation of Wireless Churn
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...
126
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FLAIRS
2006
15 years 3 months ago
Context-based Term Disambiguation in Biomedical Literature
The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
Ping Chen, Hisham Al-Mubaid
SBBD
2000
168views Database» more  SBBD 2000»
15 years 3 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
130
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CISSE
2008
Springer
15 years 3 months ago
Secondary Emotions Deduction from Context
— Human centred services are increasingly common in the market of mobile devices. However, affective aware services are still scarce. In turn, the recognition of secondary emotio...
Kuderna-Iulian Benta, Marcel Cremene, Nicoleta Ram...
JCP
2008
167views more  JCP 2008»
15 years 2 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao