391 search results - page 19 / 79 » Graph based multi-modality learning |
ICCBR
2007
Springer
14 years 1 months ago
2007
Springer
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
JAIR
2000
13 years 7 months ago
2000
This paper reviews the connections between Graphplan's planning-graph and the dynamic constraint satisfaction problem and motivates the need for adapting CSP search technique...
CVPR
1997
IEEE
14 years 9 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...