0000000000416507
AUTHOR
Asle Pedersen
Semi-automated web resource discovery and analysis : an approach based on interactive machine learning principles
Masteroppgave i informasjons- og kommunikasjonsteknologi 2001 - Høgskolen i Agder, Grimstad This report presents a semi-automated approach to web Resource Discovery based on an architecture in which both human learning and machine learning is integrated in the same model. The fundamental idea of the semi-automated approach is to let the machine automatically identify semantic ambiguities and ask a human analyst to resolve them. An application prototype is developed that demonstrates an experimental Focused Crawler algorithm and the use of the ISO 13250 Topic Map standard for the purpose of knowledge representation. The main area of deployment is for use in Competitive Intelligence activitie…
Achieving Unbounded Resolution inFinitePlayer Goore Games Using Stochastic Automata, and Its Applications
Abstract This article concerns the sequential solution to a distributed stochastic optimization problem using learning automata and the Goore game (also referred to as the Gur game in the related literature). The amazing thing about our solution is that, unlike traditional methods, which need N automata (where N determines the degree of accuracy), in this article, we show that we can obtain arbitrary accuracy by recursively using only three automata. To be more specific, the Goore game (GG) introduced in Tsetlin (1973) has the fascinating property that it can be resolved in a completely distributed manner with no inter-communication between the players. The game has recently found applicati…