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JMLR
2010
140views more  JMLR 2010»
15 years 1 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
IJCNN
2007
IEEE
16 years 23 days ago
Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics
- This paper presents an optimal energy control scheme for a grid independent photovoltaic (PV) solar system consisting of a PV array, battery energy storage, and time varying load...
Richard L. Welch, Ganesh K. Venayagamoorthy
SENSYS
2006
ACM
16 years 12 days ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...
IJON
2007
68views more  IJON 2007»
15 years 6 months ago
A self-organizing map of sigma-pi units
By frame of reference transformations, an input variable in one coordinate system is transformed into an output variable in a different coordinate system depending on another inpu...
Cornelius Weber, Stefan Wermter
LOCA
2005
Springer
15 years 12 months ago
Prediction of Indoor Movements Using Bayesian Networks
Abstract. This paper investigates the efficiency of in-door next location prediction by comparing several prediction methods. The scenario concerns people in an office building vis...
Jan Petzold, Andreas Pietzowski, Faruk Bagci, Wolf...