889 search results - page 56 / 178 » Probabilistic Neural Network Models for Sequential Data |
IJIT
2004
13 years 9 months ago
2004
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented ...
ICANN
2001
Springer
14 years 20 days ago
2001
Springer
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
GIS
2002
ACM
13 years 8 months ago
2002
ACM
Despite the recognition of cellular automata (CA) as a exible and powerful tool for urban growth simulation, the calibration of CA had been largely heuristic until recent eVorts to...
IROS
2007
IEEE
14 years 2 months ago
2007
IEEE
- We present a connectionist model that combines motions and language based on the behavioral experiences of a real robot. Two models of recurrent neural network with parametric bi...