Identity uncertainty is the task of deciding whether two descriptions correspond to the same object. In this paper we discuss the identity uncertainty problem in the context of the...
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
Our discussion in this article centers on the application of ant algorithms to the non-bifurcated multicommodity flow problem. We propose a general framework of ant algorithm that...
In this paper we propose an automatic mechanism for annotating XML documents. This mechanism relies on a simple data model whose main features are: (1) a modeling of XML documents ...
Abstract- This paper describes implementation details and results from a simulated multi-agent bacteria ecosystem. Each bacterium is encoded on a DNA-like genome, specifying the ge...
Ricardo M. Hoar, Joanne K. Penner, Christian Jacob