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ESANN
2007
15 years 6 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
MBEES
2010
15 years 6 months ago
Towards Architectural Programming of Embedded Systems
: Integrating architectural elements with a modern programming language is essential to ensure a smooth combination of architectural design and programming. In this position statem...
Arne Haber, Jan Oliver Ringert, Bernhard Rumpe
EUSFLAT
2007
107views Fuzzy Logic» more  EUSFLAT 2007»
15 years 6 months ago
Extending the Choquet integral
In decision under uncertainty, the Choquet integral yields the expectation of a random variable with respect to a fuzzy measure (or non-additive probability or capacity). In gener...
Giovanni Rossi
FIW
2007
152views Communications» more  FIW 2007»
15 years 6 months ago
Considering Safety and Feature Interactions for Integrated Services of Home Network System
Assuring safety in the home network system (HNS) is a crucial issue to guarantee high quality of life. In this position paper, we first review our previous work, formulating three...
Ben Yan
ICMLA
2008
15 years 6 months ago
Comparison with Parametric Optimization in Credit Card Fraud Detection
We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
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