Sentence examples for models for mixtures from inspiring English sources

A further question concerns the proper external validation of models for mixtures, which is less obvious than in classical QSAR.

However, the development of models for mixtures requires very substantial effort regarding the storage and representation of mixtures, calculation of descriptors, and implementation of correct validation protocols.

"Methods and Results" section reviews traditional and marginalized zero-inflated count regression models, while "Models for mixtures of non-degenerate count distributions" section discusses traditional finite mixture regression models and proposes marginalized two-component count regression models involving mixtures of non-degenerate distributions.

(15) TKTD models for mixtures of chemicals are available, but their relationship to standard models for toxicity of mixtures with simultaneous, constant exposure is not well established.

Also activity models for mixtures of inorganic and organic solutes have been tested with measured values of water activity – yielding information on the mixture effects on equilibrium vapor pressures of water but not directly on the activity and volatility of the organic compounds.

In order to develop realistic models for mixtures of old, naturally-formed C and bomb-derived C, a C input curve was generated by combining the 2009 international radiocarbon calibration curve, IntCal09 (Reimer et al. 2009) with tropospheric C data for the northern hemisphere (zone 2; Hua and Barbetti 2004).

The evaluation of different models for mixture viscosity indicated that the power law and Cragoe׳s models represent the viscosity data over wide range of operating conditions better than other models.

This study demonstrates that the scaling laws are suitable to serve as sub-grid scale models for mixture fraction based approaches such as flamelet, conditional moment closure (CMC) or multiple mapping conditioning (MMC) methods.

This paper proposes a flexible class of models for mixture experiments defined on Sq∗ and gives a simple method for finding D and A-optimal designs for the models using optimal designs available for the mixture experiments defined on the regular simplex.

To address this, a general modeling framework for mixture design problems is presented.

Both the original ENRBF model and the new proposed ENRBF classifier (ENRBFC) can be viewed as the special cases of the mixture-of-experts (ME) model that is discussed in Xu et al. [An alternative model for mixtures of experts, in: Advances in Neural Information Processing Systems, MIT Press, Cambridge, MA, 1995].