As long as a square nonnegative matrix $A$ contains sufficient nonzero elements, the Sinkhorn-Knopp algorithm can be used to balance the matrix, that is, to find a diagonal scaling of $A$ that is doubly stochastic. We relate balancing to problems in traffic flow and describe how balancing algorithms can be used to give a two sided measure of nodes in a graph. We show that with an appropriate modification, the Sinkhorn-Knopp algorithm is a natural candidate for computing the measure on enormous data sets
A fundamental problem arising in many applications in Web science and social network analysis is the...
Abstract: It is of increasing importance to develop learning meth-ods for ranking. In contrast to ma...
International audienceThis article describes a set of methods for quickly computing the solution to ...
As long as a square nonnegative matrix $A$ contains sufficient nonzero elements, the Sinkhorn-Knopp...
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the Sinkhorn-Kno...
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the matrix can b...
Abstract. As long as a square nonnegative matrix A contains sufficient nonzero elements, then the ma...
AbstractNew methods for scaling square, nonnegative matrices to doubly stochastic form are described...
Given a non-negative real matrix A, the matrix scaling problem is to determine if it is possible to ...
It is shown that the problem of balancing a nonnegative matrix by positive diagonal matrices can be ...
AbstractMatrix scaling problems have been extensively studied since Sinkhorn established in 1964 the...
AbstractLet DN be the set N × N stochastic matrices without zero columns. Starting with a matrix A(0...
AbstractWe prove that Sinkhorn balancing always converges linearly, provided the starting matrix has...
An $n\times n$ matrix $S = \bmat s_{i,j} \emat$ with nonnegative coordinates is \emph{doubly stochas...
Let S be a column stochastic matrix with at least one full row. Then S describes a Pagerank-like ran...
A fundamental problem arising in many applications in Web science and social network analysis is the...
Abstract: It is of increasing importance to develop learning meth-ods for ranking. In contrast to ma...
International audienceThis article describes a set of methods for quickly computing the solution to ...
As long as a square nonnegative matrix $A$ contains sufficient nonzero elements, the Sinkhorn-Knopp...
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the Sinkhorn-Kno...
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the matrix can b...
Abstract. As long as a square nonnegative matrix A contains sufficient nonzero elements, then the ma...
AbstractNew methods for scaling square, nonnegative matrices to doubly stochastic form are described...
Given a non-negative real matrix A, the matrix scaling problem is to determine if it is possible to ...
It is shown that the problem of balancing a nonnegative matrix by positive diagonal matrices can be ...
AbstractMatrix scaling problems have been extensively studied since Sinkhorn established in 1964 the...
AbstractLet DN be the set N × N stochastic matrices without zero columns. Starting with a matrix A(0...
AbstractWe prove that Sinkhorn balancing always converges linearly, provided the starting matrix has...
An $n\times n$ matrix $S = \bmat s_{i,j} \emat$ with nonnegative coordinates is \emph{doubly stochas...
Let S be a column stochastic matrix with at least one full row. Then S describes a Pagerank-like ran...
A fundamental problem arising in many applications in Web science and social network analysis is the...
Abstract: It is of increasing importance to develop learning meth-ods for ranking. In contrast to ma...
International audienceThis article describes a set of methods for quickly computing the solution to ...