Mary Felkin

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Many quality measures for rule discovery are binary measures, they are designed to rate binary rules (rules which separate the database examples into two categories eg. “it is a bird” vs. “it is not a bird”) and they cannot rate N -ary rules (rules which separate the database examples into N categories eg. “it is a bird” or “it is an insect” or “it is a(More)
This paper is at the crossroad of Cognitive Psychology and AI Robotics. It reports a cross-disciplinary project concerned about implementing human heuristics within autonomous mobile robots. In the following, we address the problem of relying on human-based heuristics to endow a group of mobile robots with the ability to solve problems such as target(More)
Data Mining (DM) has been identified as one of the ten main challenges of the 21st century (MIT Technological Review, fev. 2001). The goal is to exploit the massive amounts of data produced in scientific labs, industrial plants, banks, hospitals or supermarkets, in order to extract valid, new and useful regularities. In other words, DM resumes the Machine(More)
We developed a system to obtain a robot able to learn to emulate the strategies used by a human facing a problemsolving task. We have been able to solve this problem within a particular setting in which the human behaviour can be interpreted as time series of ‘observables’ of his/her problemsolving strategy. Our solution encompasses the solution of yet(More)
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