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» Observational Learning with Modular Networks
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AVSS
2006
IEEE
14 years 1 months ago
Activity Topology Estimation for Large Networks of Cameras
Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...
Anton van den Hengel, Anthony R. Dick, Rhys Hill
IDEAL
2004
Springer
14 years 1 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
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...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
ICANN
2001
Springer
14 years 4 days ago
Generalized Relevance LVQ for Time Series
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...
Marc Strickert, Thorsten Bojer, Barbara Hammer
TNN
2008
79views more  TNN 2008»
13 years 7 months ago
Performing Feature Selection With Multilayer Perceptrons
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 ...
Enrique Romero, Josep M. Sopena
ACL
2010
13 years 5 months ago
Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities
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 ...
Baoxun Wang, Xiaolong Wang, Chengjie Sun, Bingquan...