231 search results - page 8 / 47 » Stochastic Optimization is (Almost) as easy as Deterministic... |
MVA
2007
13 years 9 months ago
2007
In this paper we present a stochastic sampling approach to estimate multiple human trajectory in the meeting. The algorithm is formalized as a energy minimization problem based on...
DSS
2007
13 years 7 months ago
2007
Abstract. In this paper, the optimization of the Berth Allocation Problem (BAP) is transformed into a multiple stage decision making procedure and a new stochastic beam search algo...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
The focus of this paper is on the set intersection problem for closed convex sets admitting projection operation in a closed form. The objective is to investigate algorithms that w...
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
FSTTCS
2010
Springer
13 years 5 months ago
2010
Springer
Given a zero-sum infinite game we examine the question if players have optimal memoryless deterministic strategies. It turns out that under some general conditions the problem for...