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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 1 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
EDCC
1999
Springer
14 years 1 months ago
Dependability Modelling and Sensitivity Analysis of Scheduled Maintenance Systems
Abstract. In this paper we present a new modelling approach for dependability evaluation and sensitivity analysis of Scheduled Maintenance Systems, based on a Deterministic and Sto...
Andrea Bondavalli, Ivan Mura, Kishor S. Trivedi
HCI
2009
13 years 6 months ago
High-Fidelity Prototyping of Interactive Systems Can Be Formal Too
The design of safety critical systems calls for advanced software engineering models, methods and tools in order to meet the safety requirements that will avoid putting human life ...
Philippe A. Palanque, Jean-François Ladry, ...
ICDE
2009
IEEE
165views Database» more  ICDE 2009»
14 years 10 months ago
Expressive Location-Based Continuous Query Evaluation with Binary Decision Diagrams
Many location-based services require rich and expressive query language support for filtering large amounts of information. In prominent location-based services thousands of conti...
Zhengdao Xu, Hans-Arno Jacobsen
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 9 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...