Sentence examples for methods for matrix from inspiring English sources

Then Bayesian learning methods for matrix factorization and other related tasks are introduced.

In this paper, we developed high-order methods for matrix polar decomposition.

Some well-known methods for matrix updating serve as an additional instrumental confirmation to validity of homothetic paradigm.

In particular, as it is shown below, the well-known and widely used RAS and Kuroda's methods for matrix updating serve as an additional instrumental confirmation to such an answer.

In this work, we investigated the performance of three popular methods for matrix decomposition: Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Sparse Coding (SC) as unsupervised high level feature extractors for the self-taught learning algorithm.

Experiments show that recursive adaptive methods for matrix multiplication, hybrid recursive iterative methods for triangular system solve and tile recursive versions of the PLUQ decomposition, together with various data mapping policies, provide the best performance on a 32 cores NUMA architecture.

To our best knowledge, no direct multi-class learning method for matrix pattern has been proposed so far.

We concluded that "PQR sort" is a valid alternative method for matrix reordering, which may also be extended for other visual structures.

In this paper, we propose a novel recursive contour integral method for matrix eigenvalue problems from finite element discretizations of transmission eigenvalue problems.

We look at iterative methods for solving matrix equations, particularly those matrices with small entries.

We analyze moments method for matrices which show the freeness property and we show that it can be used to propose algorithmic methods to compute moments of finite Gaussian random matrices.