2695 search results - page 336 / 539 » Learning Graph Matching |
122
click to vote
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
146
click to vote
ECML
2007
Springer
15 years 9 months ago
2007
Springer
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
123
click to vote
GECCO
2005
Springer
15 years 8 months ago
2005
Springer
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
123
click to vote
ICDM
2003
IEEE
15 years 8 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
118
click to vote
ECML
2007
Springer
15 years 7 months ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...