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ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
MBEES
2010
13 years 9 months ago
Towards Architectural Programming of Embedded Systems
: Integrating architectural elements with a modern programming language is essential to ensure a smooth combination of architectural design and programming. In this position statem...
Arne Haber, Jan Oliver Ringert, Bernhard Rumpe
NIPS
2008
13 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
PEWASUN
2007
ACM
13 years 9 months ago
Worst-case lifetime computation of a wireless sensor network by model-checking
Wireless Sensor Network (WSN) technology is now mature enough to be used in numerous application domains. However, due to the restricted amount of energy usually allocated to each...
Laurent Mounier, Ludovic Samper, Wassim Znaidi
TREC
2008
13 years 9 months ago
TREC 2008 at the University at Buffalo: Legal and Blog Track
In the TREC 2008, the team from the State University of New York at Buffalo participated in the Legal track and the Blog track. For the Legal track, we worked on the interactive s...
Jianqiang Wang, Ying Sun, Omar Mukhtar, Rohini K. ...
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