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This paper deals with an application of a Fuzzy-ART self-organizing neural classiier to adaptive cate-gorization of the perceptual space of a mobile robot. The aim of the presented research is to develop a learning system for reactive locomotion control in an unknown, cluttered environment. A qualitative description of the proposed categorization technique(More)
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a generally transferable structure of the language and propose a new method to learn this structure using an appropriately chosen latent variable model. This semantic correlation contains(More)
—Data driven decision support systems often benefit from human participation to validate outcomes produced by automated procedures. Perceived utility hinges on the system's ability to learn transparent, comprehensible models from data. We introduce and formalize Informative Projection Recovery: the problem of extracting a set of low-dimensional projections(More)
EPFC (Emerging Patterns in Food Complaints) is the analytical component of the Consumer Complaint Monitoring System, designed to help the food safety officials to efficiently and effectively monitor incoming reports of adverse effects of food on its consumers. These reports, collected in a passive surveillance mode, contain multi-dimensional, heterogeneous(More)