2512 search results - page 37 / 503 » Learning from Highly Structured Data by Decomposition |
IJCAI
2001
14 years 11 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
VVS
1996
IEEE
15 years 1 months ago
1996
IEEE
A method is proposed which supports the extraction of isosurfaces from irregular volume data, represented by tetrahedral decomposition, in optimal time. The method is based on a d...
ESCIENCE
2007
IEEE
15 years 4 months ago
2007
IEEE
Structural biology research places significant demands upon computing and informatics infrastructure. Protein production, crystallization and X-ray data collection require solutio...
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
JMLR
2002
14 years 9 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...