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Reported in this paper is an intelligent agent that aids users to conduct efficient Internet Web information retrieval through query formulation, information collection, information clustering, and analysis. The underlying mechanism is a probabilistic Sample-at-the-boundary learning algorithm for clustering the search results and learning and matching the user concept. Kohonen's "windowed" Learning Vector Quantization algorithm is shown to be related to this Sample-atthe-boundary learningdoi:10.1109/icassp.1998.675479 dblp:conf/icassp/Park98 fatcat:lbv4i5olgbhp5p4knt2o3a76si