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ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 10 days ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
IADIS
2003
15 years 3 months ago
Informatization and E-Business Model Application for Distributed Data Mining Using Mobile Agents
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
BMCBI
2008
130views more  BMCBI 2008»
15 years 2 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
ISSRE
2006
IEEE
15 years 8 months ago
Queuing Models for Field Defect Resolution Process
This paper explores a novel application of queuing theory to the corrective software maintenance problem to support quantitative balancing between resources and responsiveness. In...
Swapna S. Gokhale, Robert E. Mullen
IWSAS
2001
Springer
15 years 6 months ago
Model-Based Diagnosis for Information Survivability
The Infrastructure of modern society is controlled by software systems that are vulnerable to attack. Successful attacks on these systems can lead to catastrophic results; the sur...
Howard E. Shrobe