595 search results - page 14 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
MCS
2005
Springer
14 years 27 days ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
ALT
1994
Springer
13 years 11 months ago
1994
Springer
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
ACMSE
2009
ACM
14 years 1 months ago
2009
ACM
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
ACL
2004
13 years 8 months ago
2004
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...