WEBI
2010
Springer
13 years 2 months ago
2010
Springer
Abstract--Expertise matching, aiming to find the alignment between experts and queries, is a common problem in many real applications such as conference paper-reviewer assignment, ...
CLOUDCOM
2010
Springer
13 years 2 months ago
2010
Springer
Abstract--Commercial services for provisioning software components and virtual infrastructure in the cloud are emerging. For customers, this creates a multitude of possibilities fo...
TCS
2010
13 years 3 months ago
2010
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
QUESTA
2010
13 years 3 months ago
2010
In a M/M/N+M queue, when there are many customers waiting, it may be preferable to reject a new arrival rather than risk that arrival later abandoning without receiving service. O...
ALGOSENSORS
2010
Springer
13 years 3 months ago
2010
Springer
We study the problem of maximizing the lifetime of a sensor network assigned to monitor a given area. Our main result is a linear time dual approximation algorithm that comes arbit...
TEC
2002
13 years 4 months ago
2002
In this paper, we prove some convergence properties for a class of ant colony optimization algorithms. In particular, we prove that for any small constant 0 and for a sufficiently ...
MP
2002
13 years 4 months ago
2002
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
COR
2004
13 years 4 months ago
2004
We collected and analyzed a number of linear programming problems that have been shown to cycle (not converge) when solved by Dantzig's original simplex algorithm. For these ...
TASE
2008
IEEE
13 years 4 months ago
2008
IEEE
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
ML
2008
ACM
13 years 4 months ago
2008
ACM
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...