The problem of multiple sequence alignment is one of the most important problems in computational biology. In this paper we present a new method that simultaneously performs multi...
Jaroslaw Zola, Denis Trystram, Andrei Tchernykh, C...
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Representing and reasoning with an agent's preferences is important in many applications of constraints formalisms. Such preferences are often only partially ordered. One clas...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Abstract--Sensor localization using channel energy measurements of distributed sensors has been studied in various scenarios. However, it is usually assumed that the target does no...
Christian R. Berger, Sora Choi, Shengli Zhou, Pete...