System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor inform...
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...
Current computer systems and communication networks tend to be highly complex, and they typically hide their internal structure from their users. Thus, for selected aspects of capa...
Thomas Begin, Alexandre Brandwajn, Bruno Baynat, B...
: This paper describes a design methodology for an object oriented database,basedon a semantic network. This approach is based on the assumption that Yemanticdata models are more p...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...