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ALT
2008
Springer
14 years 6 months ago
Optimally Learning Social Networks with Activations and Suppressions
In this paper we consider the problem of learning hidden independent cascade social networks using exact value injection queries. These queries involve activating and suppressing a...
Dana Angluin, James Aspnes, Lev Reyzin
HPCA
2008
IEEE
14 years 10 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
OOPSLA
2009
Springer
14 years 4 months ago
Design pattern density defined
Design pattern density is a metric that measures how much of an object-oriented design can be understood and represented as instances of design patterns. Expert developers have lo...
Dirk Riehle
CVPR
2010
IEEE
14 years 6 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
ER
2006
Springer
135views Database» more  ER 2006»
14 years 1 months ago
Towards Automatic Evaluation of Learning Object Metadata Quality
Thanks to recent developments on automatic generation of metadata and interoperability between repositories, the production, management and consumption of learning object metadata ...
Xavier Ochoa, Erik Duval