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...
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...
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
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 ...
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...