498 search results - page 26 / 100 » Learning structured prediction models: a large margin approa... |
66
Voted
ML
2006
ACM
14 years 9 months ago
2006
ACM
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
CVPR
2012
IEEE
13 years 2 days ago
2012
IEEE
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
75
Voted
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
ALT
2001
Springer
15 years 2 months ago
2001
Springer
We develop a theory for learning scenarios where multiple learners co-exist but there are mutual compatibility constraints on their outcomes. This is natural in cognitive learning...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...