248 search results - page 13 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
107
Voted
IWANN
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
130
Voted
IWANN
2001
Springer
15 years 6 months ago
2001
Springer
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
95
Voted
FLAIRS
2003
15 years 3 months ago
2003
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
137
Voted
JMLR
2010
14 years 8 months ago
2010
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
112
Voted
ICONIP
2010
15 years 11 days ago
2010
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...