Sentence examples similar to sparse functions from inspiring English sources

It is a general, greedy, sparse function approximation scheme with the squared error loss, which iteratively adds new functions (i.e. basis functions) to the linear expansion.

For the modified phylogenetic tree with node and distance, we have used sparse function in our program, which generates matrices in the MATLAB sparse storage establishment.

This approach is based on compressive sampling theory [25] [27], which aims to recover a sparse function from much fewer samples than it would be required according to Shannon's sampling theorem.

This article studies the problem of the identification of MIMO systems with sparse transfer functions coefficients.

Let the signal x t be a finite mixture of sparse Dirac functions: x ( t ) = ∑ i = 1 k c i · δ ( t − t i ) (31).

We intend to show that the samples generated by proper sampling kernels φ(t can be used to reconstruct the sparse Dirac functions.

The reconstruction of three-dimensional sparse volume functions from few tomographic projections constitutes a challenging problem in image reconstruction and turns out to be a particular problem instance of compressive sensing.

The present study considered three commonly used sparse penalty functions which correspond to Lasso, SCAD, and SICA.

More recently, Mukherjee and co-workers [ 10] introduced an approach based on sparse Boolean functions and applied it to the responsiveness of breast cancer cell lines to an anti-cancer agent.

We approximate the sparse constraint function f(x) by the convex function f ˜ v (x ) = v T h (x ) - f h * (v ), where h(x) is a specific convex function h(x) = x2 and f ℏ * (v ) is the concave dual of the function f ¯ h (v ) (defined as f (v ) = f ¯ h (h (v ) ) ).

Even though the knowledge of the presence and function of CGRP in the CNS is sparse, the function in both the peripheral and enteric nervous system is well established and CGRP is expressed widely throughout both systems.