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» A selective sampling approach to active feature selection
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ICPR
2006
IEEE
14 years 11 months ago
On Kernel Selection in Relevance Vector Machines Using Stability Principle
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dm...
ATAL
2005
Springer
14 years 3 months ago
On possibilistic case-based reasoning for selecting partners for multi-attribute agent negotiation
We propose an enhanced mechanism for selecting partners for multi-attribute negotiation. The mechanism employs possibilistic case-based reasoning. The possibility of successful ne...
Jakub Brzostowski, Ryszard Kowalczyk
ICPR
2008
IEEE
14 years 4 months ago
Score based biometric template selection
A biometric identification procedure usually contains two stages: registration and authentication. Most biometric systems capture multiple samples of the same biometric trait (e.g...
Yong Li, Jianping Yin, En Zhu, Chunfeng Hu, Hui Ch...
BMCBI
2005
104views more  BMCBI 2005»
13 years 10 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
IAJIT
2007
104views more  IAJIT 2007»
13 years 10 months ago
A Learning-Classification Based Approach for Word Prediction
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
Hisham Al-Mubaid