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ANOR
2010
110views more  ANOR 2010»
14 years 10 months ago
Re-solving stochastic programming models for airline revenue management
We study some mathematical programming formulations for the origin-destination model in airline revenue management. In particular, we focus on the traditional probabilistic model ...
Lijian Chen, Tito Homem-de-Mello
IJAR
2006
98views more  IJAR 2006»
14 years 10 months ago
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
Barry R. Cobb, Prakash P. Shenoy
DAM
2007
100views more  DAM 2007»
14 years 10 months ago
Partially ordered knapsack and applications to scheduling
In the partially-ordered knapsack problem (POK) we are given a set N of items and a partial order ≺P on N. Each item has a size and an associated weight. The objective is to pac...
Stavros G. Kolliopoulos, George Steiner
JMLR
2006
153views more  JMLR 2006»
14 years 10 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
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JSCIC
2006
98views more  JSCIC 2006»
14 years 10 months ago
Optimal Strong-Stability-Preserving Time-Stepping Schemes with Fast Downwind Spatial Discretizations
In the field of strong-stability-preserving time discretizations, a number of researchers have considered using both upwind and downwind approximations for the same derivative, in...
Sigal Gottlieb, Steven J. Ruuth