35 research outputs found

    Modular Composite Representation

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    Abstract. High-dimensional vector spaces have noteworthy properties that make them attractive for representation models. A reduced description model is a mechanism for encoding complex structures as single high-dimensional vectors. Moreover, these vectors can be used to directly process complex operations such as analogies, inferences, and structural comparisons. Also, it is possible to reconstruct the whole structure from the reduced description vector. Here we introduce the Modular Composite Representation (MCR) a new reduced description model that employs long integer vectors. We also describe several experiments with them and give a theoretical analysis of the distance distribution in this vector space and of properties of this representation. Finally, we compare MCR with other tw
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