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» Genetic Programming with Active Data Selection
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TEC
2002
89views more  TEC 2002»
13 years 9 months ago
An immunity-based technique to characterize intrusions in computer networks
Abstract--This paper presents a technique inspired by the negative selection mechanism of the immune system that can detect foreign patterns in the complement (nonself) space. In p...
Fabio A. González, Dipankar Dasgupta
ASPDAC
2004
ACM
80views Hardware» more  ASPDAC 2004»
14 years 3 months ago
Exploiting program execution phases to trade power and performance for media workload
Abstract- Processing streaming media comprisesseveral program phases (often distinct) that are periodic and independent of application data. In this paper we characterize execution...
Subhasis Banerjee, G. Surendra, S. K. Nandy
ISI
2003
Springer
14 years 3 months ago
Active Database Systems for Monitoring and Surveillance
In many intelligence and security tasks it is necessary to monitor data in database in order to detect certain events or changes. Currently, database systems offer triggers to pro...
Antonio Badia
ICML
2008
IEEE
14 years 10 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
ICSEA
2007
IEEE
14 years 4 months ago
Test Data Generation from UML State Machine Diagrams using GAs
Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of t...
Chartchai Doungsa-ard, Keshav P. Dahal, M. Alamgir...