Mapping part-whole hierarchies into connectionist networks
Artificial Intelligence - On connectionist symbol processing
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Localized versus distributed representations
The handbook of brain theory and neural networks
Connectionist inference models
Neural Networks
Representation and Processing of Structures with Binary Sparse Distributed Codes
IEEE Transactions on Knowledge and Data Engineering
Binary Spatter-Coding of Ordered K-Tuples
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Holographic Reduced Representation: Distributed Representation for Cognitive Structures
Holographic Reduced Representation: Distributed Representation for Cognitive Structures
Classical and Quantum Computation
Classical and Quantum Computation
Natural Thinking Mechanisms and Computer Intelligence
Cybernetics and Systems Analysis
Vector representations for efficient comparison and search for similar strings
Cybernetics and Systems Analysis
Hi-index | 0.00 |
Problems (inherent in compound hierarchical representations) of preserving information on the structure of coded data and methods of solving them by "binding" of information substructures are discussed. A type of distributed representations is considered in which data are coded by multidimensional binary sparse vectors. The constraints imposed on a binding procedure are formulated and its implementation is provided. Some examples of representation of structured data are considered.