553 search results - page 99 / 111 » Bayesian network learning algorithms using structural restri... |
TIP
2010
13 years 1 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
NN
2002
Springer
13 years 6 months ago
2002
Springer
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
ICVS
1999
Springer
13 years 11 months ago
1999
Springer
This paper presents interim results from an ongoing project on aerial image reconstruction. One important task in image interpretation is the process of understanding and identifyi...
WOWMOM
2005
ACM
14 years 8 days ago
2005
ACM
Ad hoc networks represent a key factor in the evolution of wireless communications. These networks typically consist of equal nodes that communicate without central control, inter...
NIPS
2004
13 years 8 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...