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» Modeling synchronized time series
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IDA
2003
Springer
15 years 6 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
115
Voted
IJIT
2004
15 years 2 months ago
Application of Neural Networks in Financial Data Mining
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
Defu Zhang, Qingshan Jiang, Xin Li
119
Voted
GW
2009
Springer
195views Biometrics» more  GW 2009»
14 years 10 months ago
Continuous Realtime Gesture Following and Recognition
Abstract. We present a HMM based system for real-time gesture analysis. The system outputs continuously parameters relative to the gesture time progression and its likelihood. Thes...
Frédéric Bevilacqua, Bruno Zamborlin...
90
Voted
ICALP
2005
Springer
15 years 6 months ago
On the Wake-Up Problem in Radio Networks
Abstract. Radio networks model wireless communication when processing units communicate using one wave frequency. This is captured by the property that multiple messages arriving s...
Bogdan S. Chlebus, Leszek Gasieniec, Dariusz R. Ko...
81
Voted
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 5 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen