Sentence examples for models our approach from inspiring English sources

To extend CHI for personalized models, our approach is built on the dictionary learning framework [35].

In contrast to the existing models, our approach requires information such as read/write rate, which is usually available within data centres monitoring systems.

Unlike other multi-layer models, our approach explores more reasonable granularity for part detection and sophisticatedly designs part connections to model body configurations more effectively.

Moreover, it is shown that conversely to the classical models, our approach yields critical loads that depend only on rigorous well-founded mechanical hypotheses.

Starting from UML diagrams of independent web services and respective UML context models, our approach can produce a functional composite context-aware application.

Comparing with the previous models, our approach mainly improves the predictions of the attenuation of acoustic waves in the regions with large kR0 (k is the wave number and R0 is the equilibrium bubble radius).

For very compact model, our approach reaches a DER between 2.78% and 3.39%.

By including categorical independent variables that reflect growth and changes in the model, our approach provides an appropriate tool for understanding change over time in school.

Since design and technology parameters are input parameters of the resulting model, our approach is in particular suited for design studies.

Out of the approaches with auditory model, our approach using spectral features of the auditory output and a linear SVM for classification performs best with a mean error rate of 7% in the polyphonic and 2% in the monophonic case.

Based on the nested game model, our approach allows that each mobile device can make decisions individually, while pursuing the minimization of the computation time with a constraint over the energy consumption.