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» Learning Classifiers from Semantically Heterogeneous Data
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ECML
1991
Springer
13 years 11 months ago
Semi-Naive Bayesian Classifier
1 A novel semi-naive Bayesian classifier is introduced that is particularly suitable to data with many attributes. The naive Bayesian classifier is taken as a starting point and co...
Igor Kononenko
CVPR
2010
IEEE
14 years 3 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
AI
2007
Springer
14 years 1 months ago
Learning the Semantic Meaning of a Concept from the Web
Many researchers have used text classification method in solving the ontology mapping problem. Their mapping results heavily depend on the availability of quality exemplars used as...
Yang Yu, Yun Peng
ISCAS
2006
IEEE
109views Hardware» more  ISCAS 2006»
14 years 1 months ago
Adaptive multimedia access: from user needs to semantic personalisation
—We discuss the use of a reliable user requirements methodology for gathering essential data relating to user needs in advanced, personalised multimedia content applications. We ...
A. Evans, Miriam Fernández, David Vallet, P...
CLEANDB
2006
ACM
113views Database» more  CLEANDB 2006»
14 years 1 months ago
Column Heterogeneity as a Measure of Data Quality
Data quality is a serious concern in every data management application, and a variety of quality measures have been proposed, including accuracy, freshness and completeness, to ca...
Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh ...