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» Exploiting Data Missingness in Bayesian Network Modeling
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ESANN
2004
15 years 4 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
BMCBI
2007
143views more  BMCBI 2007»
15 years 3 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
IPPS
2007
IEEE
15 years 9 months ago
Security Threat Prediction in a Local Area Network Using Statistical Model
In today’s large and complex network scenario vulnerability scanners play a major role from security perspective by proactively identifying the known security problems or vulner...
Somak Bhattacharya, S. K. Ghosh
WSNA
2003
ACM
15 years 8 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath
ICCV
2003
IEEE
15 years 8 months ago
Tracking Articulated Hand Motion with Eigen Dynamics Analysis
This paper introduces the concept of eigen-dynamics and proposes an eigen dynamics analysis (EDA) method to learn the dynamics of natural hand motion from labelled sets of motion ...
Hanning Zhou, Thomas S. Huang