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UAI
2001
15 years 7 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
WSCG
2004
95views more  WSCG 2004»
15 years 7 months ago
Wave Height Forecasting Using Cascade Correlation Neural Network
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...
Hamidreza Rashidy Kanan, Karim Faez
GLOBECOM
2008
IEEE
15 years 6 months ago
Power Efficient Throughput Maximization in Multi-Hop Wireless Networks
Abstract-- We study the problem of total throughput maximization in arbitrary multi-hop wireless networks, with constraints on the total power usage (denoted by PETM), when nodes h...
Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marat...
ANOR
2010
110views more  ANOR 2010»
15 years 6 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»
15 years 6 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