In this paper we present a method, which we have called Linear Relational Embedding (LRE), which learns a distributed rep- resentation for the concepts by ...
Linear Relational Embedding is a new method for learning distributed representations of concepts and relations from data consisting of instances of ...
This work presents Linear Relational Embedding, a new method of learning a distributed representation of concepts from data consisting of instances of ...
Source: pdf. Author: Alberto Paccanaro, Geoffrey E. Hinton. Abstract: We present Linear Relational Embedding (LRE), a new method of learning a distributed ...
Jan 3, 2001 · We present Linear Relational Embedding (LRE), a new method of learning a distributed representation of concepts from data consisting of ...
Linear Relational Embedding (LRE) is a new method of learning a distributed representation of concepts from data consisting of binary relations between ...
Linear Relational Embedding (LRE) is a new method for learning distributed representations for objects and relations. It finds a mapping from the objects into a ...
Learning Hierarchical Structures with Linear Relational Embedding. Advances in Neural Information Processing Systems, 14, MIT Press, Cambridge, MA [pdf] [ps] ...
Oct 5, 2023 · In this paper, we address the challenge of learning representations of hierarchical relations--that is, higher-order relational patterns among ...
Missing: Linear Embedding.
Learning distributed representations of relational data using linear ...
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Hierarchical LRE and Hierarchical NLRE are modifications of the above methods for learning a distributed representation of variable-sized recursive data ...