315 search results - page 2 / 63 » Structural Learning from Iconic Representations |
HYBRID
1998
Springer
13 years 10 months ago
1998
Springer
We look at distributed representation of structure with variable binding, that is natural for neural nets and allows traditional symbolic representation and processing. The repres...
IJCAI
2007
13 years 7 months ago
2007
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
WWW
2004
ACM
14 years 6 months ago
2004
ACM
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
AUSAI
2008
Springer
13 years 8 months ago
2008
Springer
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
AAAI
2004
13 years 7 months ago
2004
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...