889 search results - page 132 / 178 » Observational Learning in Random Networks |
107
Voted
IDEAL
2004
Springer
15 years 5 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
136
Voted
ICANN
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
71
Voted
TNN
2008
15 years 13 days ago
2008
An experimental study on two decision issues for wrapper feature selection (FS) with multilayer perceptrons and the sequential backward selection (SBS) procedure is presented. The ...
100
Voted
ACL
2010
14 years 10 months ago
2010
Quantifying the semantic relevance between questions and their candidate answers is essential to answer detection in social media corpora. In this paper, a deep belief network is ...
91
Voted
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
We propose a simple and energy efficient distributed Change Detection scheme for sensor networks based on Page’s parametric CUSUM algorithm. The sensor observations are IID ove...