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» Learning Classifiers from Semantically Heterogeneous Data
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MLDM
2007
Springer
14 years 2 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
SEMWEB
2010
Springer
13 years 6 months ago
Enhancing the Open-Domain Classification of Named Entity Using Linked Open Data
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
Yuan Ni, Lei Zhang, Zhaoming Qiu, Chen Wang
APIN
2004
116views more  APIN 2004»
13 years 8 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
WWW
2008
ACM
14 years 9 months ago
Online learning from click data for sponsored search
Sponsored search is one of the enabling technologies for today's Web search engines. It corresponds to matching and showing ads related to the user query on the search engine...
Massimiliano Ciaramita, Vanessa Murdock, Vassilis ...
CAISE
2001
Springer
14 years 1 months ago
A Semantic Approach to Integrating XML and Structured Data Sources
XML is fast becoming the standard for information exchange on the Internet. As such, information expressed in XML will need to be integrated with existing information systems, whi...
Peter McBrien, Alexandra Poulovassilis