Although various methods for the evaluation of intelligent systems have been proposed in the past, almost no techniques are present that support the manual inspection of knowledge...
This paper presents a methodological approach for the semiautomatic refinement and assessment of subgroup patterns using summarization and clustering techniques in the context of ...
This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is use...
An efficient framework is proposed for the fast recovery of Bayesian network classifier. A novel algorithm, called Iterative Parent-Child learningBayesian Network Classifier (IPC-...
In this paper we describe a class of a problem of goal satisfaction in mutual exclusion network that can be solved in polynomial time. This problem provides a common basis for rea...
Solving relaxed problems is a commonly used technique in heuristic search to derive heuristic estimates. In heuristic planning, this is usually done by expanding a planning (reach...
Raquel Fuentetaja, Daniel Borrajo, Carlos Linares ...
Concept representation in ontology is a basic problem on the Semantic Web. In human cognitive process, object typicality plays an important role in concept representation. Traditi...