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» Learning from Multiple Sources of Inaccurate Data
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ICML
2009
IEEE
14 years 8 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
SIGCSE
2006
ACM
188views Education» more  SIGCSE 2006»
14 years 1 months ago
A data mining course for computer science: primary sources and implementations
An undergraduate elective course in data mining provides a strong opportunity for students to learn research skills, practice data structures, and enhance their understanding of a...
David R. Musicant
SIGMOD
2003
ACM
133views Database» more  SIGMOD 2003»
14 years 7 months ago
Learning about data integration challenges from day one
I describe the format of the new version of an introductory database course that I taught at the University of Washington in Winter, 2003. The key idea underlying the course is to...
Alon Y. Halevy
DILS
2005
Springer
14 years 1 months ago
The Multiple Roles of Ontologies in the BioMediator Data Integration System
BioMediator is a data integration system that provides a common interface to multiple Internet-accessible databases containing information about genetics and molecular biology. Ont...
Peter Mork, Ron Shaker, Peter Tarczy-Hornoch
DKE
1999
110views more  DKE 1999»
13 years 7 months ago
Making Multiple Views Self-Maintainable in a Data Warehouse
A data warehouse collects and maintains a large amount of data from several distributed and heterogeneous data sources. Often the data is stored in the form of materialized views ...
Weifa Liang, Hui Li, Hui Wang, Maria E. Orlowska