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» Learning Classifiers from Semantically Heterogeneous Data
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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 9 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
SIGMOD
2003
ACM
146views Database» more  SIGMOD 2003»
14 years 9 months ago
The Piazza peer data management project
A major problem in today's information-driven world is that sharing heterogeneous, semantically rich data is incredibly difficult. Piazza is a peer data management system tha...
Igor Tatarinov, Zachary G. Ives, Jayant Madhavan, ...
CIDM
2007
IEEE
14 years 27 days ago
Mining the Students' Learning Interest in Browsing Web-Streaming Lectures
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
Long Wang 0002, Christoph Meinel
AAAI
2007
13 years 11 months ago
A Deployed Semantically-Enabled Interdisciplinary Virtual Observatory
We have used semantic technologies to design, implement, and deploy an interdisciplinary virtual observatory. The Virtual Solar-Terrestrial Observatory is a production data framew...
Deborah L. McGuinness, Peter Fox, Luca Cinquini, P...
PAMI
2012
11 years 11 months ago
Domain Transfer Multiple Kernel Learning
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
Lixin Duan, Ivor W. Tsang, Dong Xu