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Classifiers for tumour margin were constructed using ordinal logistic regression, also subject to elastic net constraints.
Classifiers for tumour shape and internal enhancement were constructed using multiple logistic regression subject to elastic net constraints.
For these classifiers, tuning parameters for the elastic net constraints were also selected using ten-fold cross-validation.
Ten-fold cross-validation [29] was used to select the values of the tuning parameters controlling the severity of the elastic net constraints.
A predictor for the HEIP of tumour size based on the size-related CEIP was constructed using multivariate linear regression subject to elastic net constraints [28].
The elastic net constraints set some coefficients in the model exactly to zero because of the model's geometry, thus performing variable selection, and also simultaneously stabilises the coefficient estimates in the presence of substantial correlation between the CEIP.
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Although some formalisms like Petri nets, constraint-based models and differential equations have been applied for all these networks, no single formalism covers the whole spectrum of functionalities reviewed in this work.
We can observe that only four formalisms (Petri nets, constraint-based models, differential equations and cellular automata) have been applied to all three types of biological networks, which makes them potential candidates as a suitable integrative formalism for whole-cell modeling.
We generalize this issue into a net utility maximization problem including network constraints, interference condition, access price, and cell load.
Since online auctions avoid such regulations by classifying their transaction insurance as a 'buyer protection program', the net premium constraints are mainly relevant to investors or the owners of the market (e.g., eBay shareholders) and will be reflected in the stock price or cost of capital.
We select the optimal parameters, λ and α, that respectively control the degree of sparsity and the amount of network constraint in the Net-Cox model using a 5-fold cross validation process.
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