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» Complex Decision Making Processes: their Modelling and Suppo...
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FGCS
2006
113views more  FGCS 2006»
15 years 3 months ago
Performance feature identification by comparative trace analysis
This work introduces a method for instrumenting applications, producing execution traces, and visualizing multiple trace instances to identify performance features. The approach p...
Daniel P. Spooner, Darren J. Kerbyson
173
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ESANN
2006
15 years 4 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
125
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MODELS
2007
Springer
15 years 9 months ago
Enhancing UML State Machines with Aspects
Abstract. Separation of Concerns (SoC) is an important issue to reduce the complexity of software. Recent advances in programming language research show that Aspect-Oriented Progra...
Gefei Zhang, Matthias M. Hölzl, Alexander Kna...
AICOM
2005
91views more  AICOM 2005»
15 years 3 months ago
Multiagent systems for cardiac pacing simulation and control
Abstract. Simulating and controlling physiological phenomena are complex tasks to tackle. This is due to the fact that physiological processes are usually described by a set of par...
Francesco Amigoni, Alessandro Beda, Nicola Gatti
SIGSOFT
2001
ACM
16 years 4 months ago
An architecture for flexible, evolvable process-driven user-guidance environments
Complex toolsets can be difficult to use. User interfaces can help by guiding users through the alternative choices that might be possible at any given time, but this tends to loc...
Timothy J. Sliski, Matthew P. Billmers, Lori A. Cl...