146 search results - page 17 / 30 » Learning with Neural Networks in the Domain of Graphs |
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
ICDAR
2011
IEEE
13 years 9 months ago
2011
IEEE
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
The class of piecewise linear homeomorphisms (PLH) provides a convenient functional representation for many applications wherein an approximation to data is required that is inver...
NN
2008
Springer
14 years 9 months ago
2008
Springer
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...