1344 search results - page 63 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
BMVC
2010
13 years 6 months ago
2010
This paper shows how semantic attribute features can be used to improve object classification performance. The semantic attributes used fall into five groups: scene (e.g. `road�...
AAAI
1996
13 years 10 months ago
1996
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
NPL
2006
13 years 8 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
XSYM
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Recently it was shown that existing general-purpose inductive logic programming systems are useful for learning wrappers (known as L-wrappers) to extract data from HTML d...
SEBD
2008
13 years 10 months ago
2008
In the context of ontology evolution, ontology population is the activity of acquiring new semantic descriptions of data extracted from heterogeneous data sources. To this end, the...