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» Using Bayesian networks to analyze expression data
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ISCC
2006
IEEE
127views Communications» more  ISCC 2006»
15 years 9 months ago
Aggregating Distributed Sensor Data for Network Intrusion Detection
Distributed network intrusion detection systems which incorporate tens, hundreds, even thousands, of sensors are becoming increasing popular. Managing and presenting the informati...
John C. McEachen, Cheng Kah Wai, Vonda L. Olsavsky
BMCBI
2010
172views more  BMCBI 2010»
15 years 3 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
MOBIHOC
2003
ACM
16 years 2 months ago
On the capacity improvement of ad hoc wireless networks using directional antennas
The capacity of ad hoc wireless networks is constrained by the interference between concurrent transmissions from neighboring nodes. Gupta and Kumar have shown that the capacity o...
Su Yi, Yong Pei, Shivkumar Kalyanaraman
NPC
2004
Springer
15 years 8 months ago
The HKUST Frog Pond - A Case Study of Sensory Data Analysis
Many sensor network applications are data-centric, and data analysis plays an important role in these applications. However, it is a challenging task to find out what specific prob...
Wenwei Xue, Bingsheng He, Hejun Wu, Qiong Luo
BMCBI
2006
140views more  BMCBI 2006»
15 years 3 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma