1921 search results - page 205 / 385 » Learning from sensor network data |
105
Voted
NPL
2006
15 years 2 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
161
Voted
AAAI
2011
14 years 2 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
135
click to vote
MLMTA
2007
15 years 4 months ago
2007
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
123
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
151
Voted
DBSEC
2010
15 years 4 months ago
2010
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...