Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
In this paper we describe the functional features and the architecture of a tool implementing the Stocks-Carrington framework (TTF) for model based testing (MBT). The resulting pro...
For most users, authoring multimedia documents remains a complex task. One solution to deal with this problem is to provide template-based authoring tools but with the drawback of...
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...