Sentence examples for modify the representation from inspiring English sources

If f satisfies the only condition (51), we need to modify the representation of the solution by adding some extra terms (see Theorem 6.4 below).

One can modify the representation by adjusting the time scale of each individual curve of heating on the moment of the reaction (Fig. 1B').

This treatment did not modify the representation of F4/80+CD103+ perivascular DC identified by staining with CD11c and MHC class II specific antibodies.

One can modify the representation by adjusting the origin of the time scale of each individual curve for heating to the actual moment of the reaction (See Fig. 2B').

The representations use coarse molecular surfaces by default, but can be replaced with an interactive molecular modeling session to modify the representation style and to access the atomic details from the structural files, for example, from Protein Data Bank (PDB) files or Electron Microscopy Data Bank (EMDB) files.

For modeling purposes, it is helpful to modify the representation of the HDP so that the generative process looks as follows: (1) (2) (3) (4) (5) where we say that β=(β k ) k =1∞ ~GEM if it satisfies the following construction: (6) (7) This construction ensures that ∑ k =1∞ β k =1.

The underlying hypothesis is that training on a particular set of stimuli can possibly modify the representations in the inner visual processing and facilitate recognition by increasing encoding speed.

Over time, we modified the representation of natural selection to include both Mayr's (1982, p. 479 480) facts and inferences about natural selection, as well as mechanisms for the origin of variation.

Therefore, Brooks and Corey (1966) modified the representation of capillary pressure function to a more general form as follows: p c = p e ( S we ∗ ) - 1 / λ (12 where pe is entry capillary pressure, MPa; λ is pore size distribution index.

Post-revolutionary changes in Romanian society have modified the representations of individuals about work, generating passive attitude.

The major advantage of DNNs is that they can discover some structure in the training data and consequently incrementally modify the data representation, resulting in a superior accuracy of trained networks.