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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
CEC
2008
IEEE
14 years 2 months ago
DCA for bot detection
Abstract— Ensuring the security of computers is a nontrivial task, with many techniques used by malicious users to compromise these systems. In recent years a new threat has emer...
Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith
ACMSE
2005
ACM
14 years 1 months ago
On developing a simple in-house digital library archive
Digital libraries (DLs) have become a major focus of information technology resources for organizations from academia, to the US Department of Defense to the archeological efforts...
Eric L. Brown, Luis G. Velazco, G. Kirksey, S. Ram...
PERVASIVE
2006
Springer
13 years 7 months ago
The Smart Tachograph - Individual Accounting of Traffic Costs and Its Implications
Today, several costs caused by road traffic may either be only roughly approximated, or cannot be clearly assigned to the drivers causing them, or both. They are typically distribu...
Vlad Coroama
HPDC
2008
IEEE
14 years 2 months ago
Ontological framework for a free-form query based grid search engine
If the model of free-form queries, which has proved successful for HTML based search on the Web, is made available for Grid services, it will serve as a powerful tool for scientis...
Chaitali Gupta, Rajdeep Bhowmik, Madhusudhan Govin...