This paper proposes a stochastic dynamic programming model for a short-term capacity planning model for air cargo space. The long-term cargo space is usually acquired by freight fo...
Ek Peng Chew, Huei Chuen Huang, Ellis L. Johnson, ...
This paper introduces a class of conditional inclusion dependencies (CINDs), which extends traditional inclusion dependencies (INDs) by enforcing bindings of semantically related ...
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
— Model-driven engineering (MDE) techniques are increasingly being used to address many of the development and operational lifecycle concerns of large-scale component-based syste...