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APIN
2008
110views more  APIN 2008»
13 years 7 months ago
Explaining inferences in Bayesian networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
ICCAD
2004
IEEE
128views Hardware» more  ICCAD 2004»
14 years 4 months ago
Power estimation for cycle-accurate functional descriptions of hardware
— Cycle-accurate functional descriptions (CAFDs) are being widely adopted in integrated circuit (IC) design flows. Power estimation can potentially benefit from the inherent in...
Lin Zhong, Srivaths Ravi, Anand Raghunathan, Niraj...
IIS
2001
13 years 9 months ago
The Development of the AQ20 Learning System and Initial Experiments
: Research on a new system implementing the AQ learning methodology, called AQ20, is briefly described, and illustrated by initial results from an experimental version. Like its pr...
Guido Cervone, Liviu Panait, Ryszard S. Michalski
CSDA
2008
126views more  CSDA 2008»
13 years 7 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...
EUSFLAT
2003
132views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Modeling high interest areas in descriptive TS fuzzy rule based systems
A descriptive Takagi-Sugeno fuzzy rule based system suffers under the curse of dimensionality since the number of rules is equal to a fuzzy system with a fully filled up decision...
Ingo Renners, Adolf Grauel