2743 search results - page 37 / 549 » Minimization of an M-convex Function |
GLOBECOM
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
AAIM
2007
Springer
14 years 3 months ago
2007
Springer
Given an undirected graph G = (V, E) and a weight function w : E → Z+ , we consider the problem of orienting all edges in E so that the maximum weighted outdegree among all verti...
ISAAC
2005
Springer
14 years 2 months ago
2005
Springer
We consider generalizations of the k-source sum of vertex eccentricity problem (k-SVET) and the k-source sum of source eccentricity problem (k-SSET) [1], which we call SDET and SSE...
JMLR
2010
13 years 7 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...