Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems; 14th International C Rossitza Setchi,Ivan Jordanov,Lakhmi C. Jain Conf

狂亂

upstart

Towards a Proposal for a Vessel Knowledge Representation Modelthe field and for our own research efforts. It will allow easy reuse of software pieces through appropriate abstractions, facilitating the development of innovative methods, procedures and applications. In this paper we present some key ideas that will be fully developed elsewhere.

daredevil

Developing a Probabilistic Graphical Structure from a Model of Mental-Health Clinical Risk Expertiseical structure. The Galatean Risk Screening Tool [1] is a psychological model for mental health risk assessment based on fuzzy sets. This paper details how the knowledge encapsulated in the psychological model was used to develop the structure of the probability graph by exploiting the semantics of

A簡潔的

Fsh238

Acetaldehyde

Comparing Ontologies Using Multi-agent System and Knowledge Baseacilities, like e-business, several ontologies in different languages are needed to match the users’ request. Finding the ontologies is one of the tasks, comparing and combining these ontologies is the other. The accomplishment of these tasks depends on the content in the ontologies like tags and st

蛛絲

ACTL Local Model Update with Constraintse other hand, constraints have been playing an essential role in describing rational system behaviours. In previous model update approaches, constraints are usually not considered in the update process. In this paper, we present an ACTL - a widely used fragment of Computation Tree Logic (CTL), local

nauseate

石墨

SCORE

Building a Framework to Design and Evaluate Meta-learning Support Systems we need to build a framework that is useful to design and evaluate meta-learning support systems. Thus we propose a framework as a basis to design and evaluate meta-learning support systems. In this paper, we firstly describe our philosophy to solve the problem. Secondly, we propose a meta-learning