593 search results - page 2 / 119 » Optimizing Complex Loss Functions in Structured Prediction |
HAIS
2010
Springer
13 years 7 months ago
2010
Springer
EMNLP
2011
12 years 7 months ago
2011
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
ICCAD
2006
IEEE
14 years 4 months ago
2006
IEEE
Parametric yield loss due to variability can be effectively reduced by both design-time optimization strategies and by adjusting circuit parameters to the realizations of variable...
NIPS
2008
13 years 9 months ago
2008
Large-margin structured estimation methods minimize a convex upper bound of loss functions. While they allow for efficient optimization algorithms, these convex formulations are n...
JMLR
2012
11 years 10 months ago
2012
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...