113 search results - page 1 / 23 » Mechanism Design via Machine Learning |
JCSS
2008
13 years 4 months ago
2008
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
FOCS
2005
IEEE
13 years 10 months ago
2005
IEEE
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
CORR
2010
Springer
13 years 1 months ago
2010
Springer
CSDA
2007
13 years 4 months ago
2007
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
ACL
2010
13 years 2 months ago
2010
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...