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In this paper, we propose a software prototype to simulate the human behavior in a domestic space. Our simulation takes into consideration the household structure and data about its residents lifestyle. The proposed system uses a multi-thread architecture, for each household's resident we deploy a single thread. The household resources management is based on the constraints propagation. We develop...
Reduction techniques are important tools in machine learning and pattern recognition. In this article, we demonstrate how a kernel-based density estimator can be used as a tool for understanding human category representation. Despite the dominance of exemplar models of categorization, there is still ambiguity about the number of exemplars stored in memory. Here, we illustrate that by omitting exemplars...
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