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23

FLAIRS
2004

111views Artificial Intelligence» more FLAIRS 2004»

13 years 9 months ago

We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...

Eugene Santos, Ahmed Huessin

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39

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IJNM
2008

131views more IJNM 2008»

Using temporal correlation for fault localization in dynamically changing networks

13 years 8 months ago

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A mobile ad-hoc network creates a dynamic environment where node mobility can cause periodic changes in routes. Most existing fault localization algorithms assume availability of ...

Maitreya Natu, Adarshpal S. Sethi

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32

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ICASSP
2008
IEEE

131views Signal Processing» more ICASSP 2008»

Contextually adaptive signal representation using conditional principal component analysis

14 years 2 months ago

Download www.cns.nyu.edu

The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...

Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...

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24

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APPT
2005
Springer

159views Distributed and Parallel Com...» more APPT 2005»

Principal Component Analysis for Distributed Data Sets with Updating

14 years 1 months ago

Download www.math.cuhk.edu.hk

Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...

Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk

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20

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CPC
2006

72views more CPC 2006»

On Dependency Graphs and the Lattice Gas

13 years 8 months ago