187 search results - page 23 / 38 » Learning Hierarchical Structures with Linear Relational Embe... |
NIPS
1990
13 years 9 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
AUSAI
2008
Springer
13 years 10 months ago
2008
Springer
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
ICDAR
2011
IEEE
12 years 8 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...
ADCM
2008
13 years 8 months ago
2008
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
ML
2010
ACM
13 years 7 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...