156 search results - page 10 / 32 » A Probabilistic Model for the Cooperative Modular Neural Net... |
NN
2006
Springer
13 years 7 months ago
2006
Springer
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
APIN
1999
13 years 7 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Text categorization and retrieval tasks are often based on a good representation of textual data. Departing from the classical vector space model, several probabilistic models have...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
INFFUS
2010
13 years 6 months ago
2010
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...