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» Validation of protein models by a neural network approach
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JCSS
2006
56views more  JCSS 2006»
13 years 9 months ago
Determining model accuracy of network traces
Accurate network modeling is critical to the design of network protocols. Traditional modeling approaches, such as Discrete Time Markov Chains (DTMC) are limited in their ability ...
Almudena Konrad, Ben Y. Zhao, Anthony D. Joseph
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
14 years 1 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
ICANN
2010
Springer
13 years 10 months ago
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodai...
ENGL
2007
100views more  ENGL 2007»
13 years 9 months ago
Utilizing Computational Intelligence to Assist in Software Release Decision
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
Tong-Seng Quah, Mie Mie Thet Thwin
IJCNN
2008
IEEE
14 years 3 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...