We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
This paper shows how to achieve, under certain conditions, abstract-interpretation ms that enjoy the best possible precision for a given abstraction. The key idea is a simple proce...
In order to draw valid conclusions when aggregating evidence it is important to describe the context in which industrial studies were conducted. This paper structures the context ...
This paper proposes a logic for causal based on event trees. Event trees provide a natural and familiar framework for probability and decision theory, but they lack the modularity...
Disparate algorithms are being designed to decide certain basic questions in opportunistic networks. This position paper describes a nascent idea that aims to provide a single fra...