Matrix tri-factorization over the tropical semiring
Tropical semiring has proven successful in several research areas, including optimal
control, bioinformatics, discrete event systems, and decision problems. Previous studies …
control, bioinformatics, discrete event systems, and decision problems. Previous studies …
FastSTMF: Efficient tropical matrix factorization algorithm for sparse data
Matrix factorization, one of the most popular methods in machine learning, has recently
benefited from introducing non-linearity in prediction tasks using tropical semiring. The non …
benefited from introducing non-linearity in prediction tasks using tropical semiring. The non …
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras
Matrix Factorization (MF) has found numerous applications in Machine Learning and Data
Mining, including collaborative filtering recommendation systems, dimensionality reduction …
Mining, including collaborative filtering recommendation systems, dimensionality reduction …
HPC acceleration of large (min,+) matrix products to compute domination-type parameters in graphs
The computation of the domination-type parameters is a challenging problem in Cartesian
product graphs. We present an algorithmic method to compute the 2-domination number of …
product graphs. We present an algorithmic method to compute the 2-domination number of …
The 2-domination number of cylindrical graphs
A vertex subset S of a graph G is said to 2-dominate the graph if each vertex not in S has at
least two neighbors in it. As usual, the associated parameter is the minimum cardinal of a 2 …
least two neighbors in it. As usual, the associated parameter is the minimum cardinal of a 2 …
[PDF][PDF] Semiring primitives for sparse neighborhood methods on the gpu
High-performance primitives for mathematical operations on sparse vectors must deal with
the challenges of skewed degree distributions and limits on memory consumption that are …
the challenges of skewed degree distributions and limits on memory consumption that are …
Research on a Deep Hopfield Neural Network for Class Prediction of Breast Cancer Gene Data
Cancer has always been an unresolved problem in the medical field. Until now, researchers
have proposed a variety of methods for unsupervised classification of gene subtypes to …
have proposed a variety of methods for unsupervised classification of gene subtypes to …
HPC acceleration of large (min,+) matrix products to compute domination-type parameters in graphs
GE Martín Garzón, JA Martínez García… - 2022 - repositorio.ual.es
The computation of the domination-type parameters is a challenging problem in Cartesian
product graphs. We present an algorithmic method to compute the 2-domination number of …
product graphs. We present an algorithmic method to compute the 2-domination number of …
The 2-domination number of cylindrical graphs
JA Martínez García, AB Castaño Fernández… - 2022 - repositorio.ual.es
A vertex subset S of a graph G is said to 2-dominate the graph if each vertex not in S has at
least two neighbors in it. As usual, the associ ated parameter is the minimum cardinal of a 2 …
least two neighbors in it. As usual, the associ ated parameter is the minimum cardinal of a 2 …