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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 7 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 9 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
FLAIRS
2008
13 years 10 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
CORR
2002
Springer
156views Education» more  CORR 2002»
13 years 7 months ago
Mapping the Gnutella Network: Properties of Large-Scale Peer-to-Peer Systems and Implications for System Design
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2...
Matei Ripeanu, Ian T. Foster, Adriana Iamnitchi
DSN
2002
IEEE
14 years 20 days ago
Robust Software - No More Excuses
Software developers identify two main reasons why software systems are not made robust: performance and practicality. This work demonstrates the effectiveness of general technique...
John DeVale, Philip Koopman