Sentence examples for in terms of kernel from inspiring English sources

This paper proposes a novel self-organising associative neural network model in terms of kernel memory.

But to initiate such studies, we have first of all to define the design bases and the requirements for HTR fuel, in terms of kernel composition (fissile element, oxide stoechiometry, enrichment), particle and compact geometry (dimensions, particle volume fraction in the graphite matrix), power density, cooling gas temperature and irradiation conditions (burnup, fast fluence).

The series expansion (4) in this case is expressed in terms of kernel dot products, setting w i = α i y i, w 0 = b: f SVM x = ∑ i np α i y i K x i, x + b. (6).

The presence of the fuel deposits, as squeezed film or impinged droplets, had direct effect on the flame radius evolution in terms of kernel cyclic variability and flame stability [25, 34]. Figure 4 reports the trend of the flame radius for gasoline and BU40 evaluated on 100 consecutive cycles.

In addition, the representation in terms of kernel matrices provides an intuitive geometric interpretation of the penalty term.

An unreplicated augmented trial design with incomplete blocks and the same common tester were used to assess the hybrid performance of testcross genotypes in terms of kernel dry weight per plot.

Thinking in terms of kernels may also facilitate our identifying kernel-like practices that occur naturally in society, as has already happened in some cases.

In terms of kernels this suggest to plug into (3 ) a kernel for proteins that quantifies this notion of similarity between proteins, which can, for example, be detected by comparing the sequences of proteins.

The expression for each detection algorithm is then derived in the feature space, which is kernelized in terms of the kernel functions in order to avoid explicit computation in the high-dimensional feature space.

Here, we introduce a process of orthogonal norm expansion along a subvariety of (complex) codimension 1, which also leads to a series expansion of the reproducing kernel in terms of reproducing kernels defined on the subvariety.

Therefore, we use two convolutional layers in this paper; in terms of the kernel size, the results for a 3 × 1 kernel size are nearly identical to those for a 5 × 1 kernel size.