The paper discusses problems in automated processing and classification of unstructured text information and suggests a new approach based on the multi-agent technology. The approach was applied for one of UK insurance companies to analyze 25000 documents related to car insurance domain, leading to development of a system, capable to analyze documents, classify them into hierarchical semantic s...

since vehicle collision coverage, unlike what it seems, is not very profitable for insurance companies and is moving towards making losses, this paper considered the adequacy of measures and rates used by insurance companies, and intended to optimize the methods by employing more scientific approaches. in order to do so, first, the factors affecting the risk of policy holders were identified an...

We present a model of the specialist olfactory system of selected moth species and the cockroach. The model is built in a semi-random fashion, constrained by biological (physiological and anatomical) data. We propose a classification of the response patterns of individual neurons, based on the temporal aspects of the observed responses. Among the observations made in our simulations a number re...

A lot of practical machine learning applications deal with interactive classification problems where trained classifiers are used to help humans find positive examples that are of interest to them. Typically, these classifiers label a large number of test examples and present the humans with a ranked list to review. The humans involved in this process are often expensive domain experts with lim...