Model Sele tion for Variable Length MarkovChains and Tuning the Context

Model Sele tion for Variable Length Markov Chains

Model Selection for Variable Length MarkovChains and Tuning the Context AlgorithmPeter

We consider the model selection problem in the class of stationary variable length Markov chains (VLMC) on a nite space. The processes in this class are still Markov-ian of higher order, but with memory of variable length. Various aims in selecting a VLMC can be formalized with diierent non-equivalent risks, such as nal prediction error or expected Kullback-Leibler information. We consider the ...

Adaptive Variable Sele tion with Bayesian Ora les

Learning Content Selection Rules for Generating Object Descriptions in Dialogue

A fundamental requirement of any task-oriented dialogue system is the ability to generate obje t des riptions that refer to obje ts in the task domain. The subproblem of ontent sele tion for obje t des riptions in task-oriented dialogue has been the fo us of mu h previous work and a large number of models have been proposed. In this paper, we use the annotated o onut orpus of task-oriented desi...

Model Sele tion for Small Sample