Sentence examples for matrices that model from inspiring English sources

A e A f, and A b are the (N × P e ), (N × P f ), and (N × P b ) mixing matrices, that model the transfer from all the possible sources of electrical activities (neuronal sources and muscular sources) and the scalp electrodes.

We obtained a set of nucleotide distribution matrices that model vertebrate TFBSs from the TRANSFAC database (release 11.1) [8].

where β is the roll-off factor shaping the transmission pulse, and Λ τ is a diagonal matrix that models signal temporal dispersion and its exponential power contribution.

Considering that the GTR + Γ4 model has a better fit than the LG + Γ4 model, it appears that the size of the data set is sufficiently large to estimate a GTR amino acid substitution matrix that models more accurately our data than the empirical LG matrix.

The uncertain nonlinear system is represented using a fuzzy function having constant matrices and time varying uncertain matrices that describe the nominal model and the uncertainty in the nonlinear system respectively.

This paper presents a delay-dependent convex approach of robust H∞ filtering for linear continuous-time systems with a varying time-delay in the state and having state-space model matrices that depend affinely on convex-bounded uncertain parameters.

Using the feature frequency function, we collect frequently observed features and form the feature set F. From here on, we only consider ion types in the ion type set Δ and features in the feature set F. Next UniNovo learns the ion type and feature-ion type matrices that characterize the generative model of the PSMs in the training dataset.

Transformations in the 3D projective model can be expressed as matrices, so we use that model to gain maximum performance.

This paper is concerned with the problems of robust H∞ and H2 filtering for 2-dimensional (2-D) discrete-time linear systems described by a Fornasini Marchesini second model with matrices that depend affinely on convex-bounded uncertain parameters.

Motivated by empirical findings, as outlined in Sect. 1, we specify a pick matrix that models the negative effect of sentiment on subsequent returns.

3.3, a pick matrix that models the negative effect of sentiment should exploit the reversal effect of investor sentiment on returns.