We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
In this paper we describe a new language for statistical data modelling, which offers a general framework for the representation of elementary and summarydata.Thereare threemain c...
In this paper, we t)resent and compare various alignnmnt models for statistical machine translation. We propose to measure tile quality of an aligmnent model using the quality of ...
Traditionally, statistical models for image auto-annotation have been coupled with image segmentation. Considering the performance of the current segmentation algorithms, it can b...
This paper approaches statistical optimization by examining gate delay variation models and optimization objectives. Most previous work on statistical optimization has focused exc...
Matthew R. Guthaus, Natesan Venkateswaran, Vladimi...