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» Invisible Learning in Online Systems
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114
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CSCW
2012
ACM
13 years 9 months ago
Shepherding the crowd yields better work
Micro-task platforms provide massively parallel, ondemand labor. However, it can be difficult to reliably achieve high-quality work because online workers may behave irresponsibly...
Steven Dow, Anand Pramod Kulkarni, Scott R. Klemme...
CIKM
2004
Springer
15 years 5 months ago
Taxonomy-driven computation of product recommendations
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classifi...
Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Th...
185
Voted
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
16 years 2 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
EUROSYS
2006
ACM
15 years 11 months ago
Solving the starting problem: device drivers as self-describing artifacts
Run-time conflicts can affect even the most rigorously tested software systems. A reliance on execution-based testing makes it prohibitively costly to test every possible interac...
Michael F. Spear, Tom Roeder, Orion Hodson, Galen ...
130
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CVPR
2007
IEEE
16 years 3 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi