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However, unlike traditional MF scheme generating dense user and item latent factor matrices, our base MF model recovers a dense user and a sparse item latent factor matrix; based on a recent work.

Then, it is shown that the ellipsoidal model recovers a variety of phenomenological and theoretical models used in recent years, specifically for geomaterials and damaged or micro-cracked materials.

We describe how our model recovers a particular r ̄ ∗ in section 2.3.

A recent publication showed that a stochastic version of the floral GRN model recovers a temporal sequence of cell-fate attainment that mimics that observed in most flowers: once sepal primordia are determined, then petal are differentiated next, and then stamen and carpel primordia are determined [10].

Such high positive relative disparity remains through to the Pleistocene, when the model recovers an unusually high relative disparity peak between approximately 0.6-0.3 0.6-0.3g.  2).

The use of an appropriate evolutionary model recovered a known viral transmission history, whereas a poorly chosen model introduced phylogenetic error.

By contrast, the better-fitting CAT + GTR model recovered a maximally supported eocyte tree (fig. 2 b).

Similarly, branch-site models recover a higher proportion of positively selected sites in the later lineage (0.00893%) than the early lineage (0.00061%; data not shown).

Results show that the present eDPD model recovers the standard DPD model when isothermal fluid systems are considered.

When we look at the (K_{f}) distribution, the EPR model recovers its heavy tail, as one would expect (inset of Figure 6(d)).

The noise-free model recovers the nominal input output characteristics of the target system and the noise model gives approximation to the probabilistic nature of the added noise.