89 search results - page 3 / 18 » Margin-Based Active Learning for Structured Output Spaces |
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
COLT
2003
Springer
13 years 10 months ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
ILP
2007
Springer
13 years 11 months ago
2007
Springer
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
JMLR
2010
13 years 3 days ago
2010
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
WWW
2004
ACM
14 years 6 months ago
2004
ACM
An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials i...