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» Boosting Set Constraint Propagation for Network Design
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FLAIRS
2008
13 years 10 months ago
Recovering from Inconsistency in Distributed Simple Temporal Networks
Simple Temporal Networks (STNs) are frequently used in scheduling applications, as they provide a powerful and general tool for managing temporal constraints. One obstacle to thei...
Anthony Gallagher, Stephen F. Smith
TSMC
2008
164views more  TSMC 2008»
13 years 7 months ago
Bagging and Boosting Negatively Correlated Neural Networks
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
WORM
2003
13 years 9 months ago
Experiences with worm propagation simulations
Fast Internet worms are a relatively new threat to Internet infrastructure and hosts. We discuss motivation and possibilities to study the behaviour of such worms and degrees of f...
Arno Wagner, Thomas Dübendorfer, Bernhard Pla...
RTSS
1994
IEEE
13 years 11 months ago
Guaranteeing End-to-End Timing Constraints by Calibrating Intermediate Processes
This paper presents a comprehensive design methodology for guaranteeing end-to-end requirements of real-time systems. Applications are structured as a set of process components co...
Richard Gerber, Seongsoo Hong, Manas Saksena
IJBC
2008
88views more  IJBC 2008»
13 years 7 months ago
Characterizing the Structural Quality of General Complex Software Networks
nodes and their interactions are abstract edges. This paper attempts to characterize the structural quality of complex software networks. We propose to use a novel statistical meas...
Jing Liu, Jinhu Lu, Keqing He, Bing Li, Chi Kong T...