Sign languages can be learned effectively only with frequent feedback from an expert in the field. The expert needs to watch a performed sign, and decide whether the sign has been performed well based on his/her previous knowledge about the sign. The expert’s role can be imitated by an automatic system, which uses a training set as its knowledge base to train a classifier that can decide whethe...

The purpose of this article is to summarize the state-of-the-art of the expert systems research field. First, we introduce the basic notion of knowledge, and specifically of shallow knowledge, and deep knowledge. The first section of the document summarizes the history of the field. We analyze the differences between the first generation of expert systems, based primarily upon rulebased and fra...

This paper presents a proposal of an adaptive device for low-pulse detection on NIBP measurements using an adaptive decision tree algorithm (AdapTree) and a probabilistic methodology, besides featuring learning related to expert knowledge.

BACKGROUND Determining the credibility of qualitative research findings remains a contested area and leaves the way open for additional theoretical and methodological discussion. AIMS In this paper we focus on audit trails and confirmability, within the context of 'expert' qualitative researchers. Having outlined the audit trail process, we develop existing arguments about the 'expert' qualit...

Animal venoms have been used for therapeutic purposes since the dawn of recorded history. Only a small fraction, however, have been tested for pharmaceutical utility. Modern computational methods enable the systematic exploration of novel therapeutic uses for venom compounds. Unfortunately, there is currently no comprehensive resource describing the clinical effects of venoms to support this co...

The simulation and optimization of an actual physics system are usually constructed based on the stochastic models, which have both qualitative and quantitative characteristics inherently.Mostmodeling specifications and frameworks find it difficult to describe the qualitative model directly. In order to deal with the expert knowledge, uncertain reasoning, and other qualitative information, a qu...

The aim of this paper is to develop a comprehensive study of the geometry involved in combining Bregman divergences with pooling operators over closed convex sets in a discrete probabilistic space. A particular connection we develop leads to an iterative procedure, which is similar to the alternating projection procedure by Csiszár and Tusnády. Although such iterative procedures are well studie...