Estimating Analogical Similarity by Dot-Products of Holographic Reduced Representations
نویسنده
چکیده
Models of analog retrieval require a computationally cheap method of estimating similarity between a probe and the candidates in a large pool of memory items. The vector dot-product operation would be ideal for this purpose if it were possible to encode complex structures as vector representations in such a way that the superficial similarity of vector representations reflected underlying structural similarity. This paper describes how such an encoding is provided by Holographic Reduced Representations (HRRs), which are a method for encoding nested relational structures as fixed-width distributed representations. The conditions under which structural similarity is reflected in the dot-product rankings of HRRs are discussed.
منابع مشابه
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s t i m a t i n g a n a l o g i c a l s i m i l a r i t y b y v e c t o r d o t-p r o d u c t s o f H o l o g r a p h i c R e d u c e d R e p r e s e n t a t i o n s. T o n y A. P l a t e D e p a r t m e n t o f C h e m i c a l E n g i n e e r i n g U n i v e r s i t y o f B r i t i s h C o l u m b i a V a n c o u v e r , B C , C a n a d a V 6 T 1 Z 4 t a p @ e p i. t e r r y f o x. u b c. c a ...
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