1344 search results - page 156 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
ACSAC
1999
IEEE
14 years 2 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
CCGRID
2010
IEEE
13 years 11 months ago
2010
IEEE
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
PRL
2006
13 years 10 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
KDD
2005
ACM
14 years 3 months ago
2005
ACM
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
NPL
2006
13 years 10 months ago
2006
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...