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CDC
2008
IEEE
13 years 8 months ago
2008
IEEE
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
ESANN
2003
13 years 9 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
MIDDLEWARE
2007
Springer
14 years 2 months ago
2007
Springer
With the growing number of service advertisements in service marketplaces, there is a need for matchmakers which select and rank functionally similar services based on nonfunction...
NIPS
1997
13 years 9 months ago
1997
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
SIGMOD
2001
ACM
14 years 8 months ago
2001
ACM
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...