In this paper we propose a semantic approach to deal with this modeling issue by extending the RUX-Method, a model-based method to build RIA UIs.
We gave a method to build -nets based on random sampling.
Imoto (2006, 2007) proposed a method to build models based on multiple predictive parameters in which independence among parameters is not necessarily assumed as it has been in previous studies.
In this way DLT seems to be a general and straightforward method to build technological devices based on CPs and/or electrocatalytic metals including electrodes for direct methanol fuel cells and sensors.
Second, use KNN method to build the prediction model based on subset D i and evaluate the model by cross-validation.
We recently [ 25] applied the method to build an integrative network based on multiple data sources (i.e. SNP genotypes and gene expression data).
Based on the above findings, we also used KNN method to build a prediction model of substrate-enzyme product interaction.
Zhu, et al [ 18] describes a method to build comprehensive BN reconstructions of regulatory networks based on genotype/expression data sets.
But it's a method, a method we don't usually see, and, maybe, a method to build on.
Based on mRNA expression data and a differential coexpression analysis based method, we built a human disease network involving 1326 significant Disease-Disease links among 108 diseases.
We recently investigated several multiatlas methods to build a patient-specific pseudoCT, all based on multiatlas registration and label propagation, and introduced a novel maximum probability method (MaxProb).
