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» Learning from Multiple Sources of Inaccurate Data
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132
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IUI
2010
ACM
15 years 10 months ago
From documents to tasks: deriving user tasks from document usage patterns
A typical knowledge worker is involved in multiple tasks and switches frequently between them every work day. These frequent switches become expensive because each task switch req...
Oliver Brdiczka
GIS
2005
ACM
16 years 4 months ago
Automatic extraction of road intersections from raster maps
Numerous raster maps are available on the Internet, but the geographic coordinates of the maps are often unknown. In order to determine the precise location of a raster map, we ex...
Yao-Yi Chiang, Craig A. Knoblock, Ching-Chien Chen
138
Voted
SAC
2009
ACM
15 years 10 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
156
Voted
SIGMOD
2005
ACM
142views Database» more  SIGMOD 2005»
15 years 9 months ago
Information intelligence: metadata for information discovery, access, and integration
Integrating enterprise information requires an accurate, precise and complete understanding of the disparate data sources, the needs of the information consumers, and how these ma...
Randall Hauch, Alex Miller, Rob Cardwell
FLAIRS
2004
15 years 5 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber