Abstract. Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean vectors. Here we present an extension of the original SDM that uses word vectors of larger size than address vectors. This extension preserves many of the desirable properties of the original SDM: auto-associability, content addressability, distributed storage, robustness over noisy inputs. In addition, it adds new functionality, enabling an efficient auto-associative storage of sequences of vectors, as well as of other data structures such as trees
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory wit...
We describe the use of genetic algorithms to initialize a set of hard locations that constitutes the...
Abstract- This paper presents a Modified Sparse Distributed Memory architecture for use in software ...
Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean ...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
Challenging AI applications, such as cognitive architectures, natural language understanding, and vi...
In this paper we introduce an improved binary correlation matrix memory (CMM) with better storage ca...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
A new viewpoint of the processing performed by Kanerva's sparse distributed memory (SDM) is pre...
Operations on high-dimensional, fixed-width vectors can be used to distribute information from sever...
It has been suggested that in certain situations it would make sense to use different activation pro...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory wit...
We describe the use of genetic algorithms to initialize a set of hard locations that constitutes the...
Abstract- This paper presents a Modified Sparse Distributed Memory architecture for use in software ...
Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean ...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
Challenging AI applications, such as cognitive architectures, natural language understanding, and vi...
In this paper we introduce an improved binary correlation matrix memory (CMM) with better storage ca...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
A new viewpoint of the processing performed by Kanerva's sparse distributed memory (SDM) is pre...
Operations on high-dimensional, fixed-width vectors can be used to distribute information from sever...
It has been suggested that in certain situations it would make sense to use different activation pro...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory wit...
We describe the use of genetic algorithms to initialize a set of hard locations that constitutes the...
Abstract- This paper presents a Modified Sparse Distributed Memory architecture for use in software ...