This paper describes improvements to the rule chaining architecture presented in [1]. The architecture uses distributed associative memories to allow the system to utilise memory eciently, and superimposed distributed representations in order to reduce the time complexity of a tree search to O(d), where d is the depth of the tree. This new work reduces the memory required by the architecture, and can also further reduce the time complexity
This paper describes a parallel associative pro-cessor, IXM2, developed mainly for semantic network ...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
Associative classifiers have proven to be very effective in classification problems. Unfortunately, ...
This paper describes an architecture based on superimposed distributed representations and distribut...
This paper briefly introduces a novel symbolic reasoning system based upon distributed associative m...
[[abstract]]Numerous associative classification algorithms have been proposed but none considers the...
We propose a novel pattern tree called Pattern Count tree (PC- tree) which is a complete and compact...
In this paper we propose two new parallel formulations of the Apriori algorithm that is used for com...
Traditional classification techniques such as decision trees and RIPPER use heuristic search methods...
[[abstract]]Although different associative classification algorithms have been proposed, as pointed ...
Many algorithms have been proposed to solve the association rule learning problem. However, most of ...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...
Despite their relative simplicity, Correlation Matrix Memories (CMMs) are an active area of research...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
In Associative classification (AC), the step of rule generation is necessarily exhaustive because of...
This paper describes a parallel associative pro-cessor, IXM2, developed mainly for semantic network ...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
Associative classifiers have proven to be very effective in classification problems. Unfortunately, ...
This paper describes an architecture based on superimposed distributed representations and distribut...
This paper briefly introduces a novel symbolic reasoning system based upon distributed associative m...
[[abstract]]Numerous associative classification algorithms have been proposed but none considers the...
We propose a novel pattern tree called Pattern Count tree (PC- tree) which is a complete and compact...
In this paper we propose two new parallel formulations of the Apriori algorithm that is used for com...
Traditional classification techniques such as decision trees and RIPPER use heuristic search methods...
[[abstract]]Although different associative classification algorithms have been proposed, as pointed ...
Many algorithms have been proposed to solve the association rule learning problem. However, most of ...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...
Despite their relative simplicity, Correlation Matrix Memories (CMMs) are an active area of research...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
In Associative classification (AC), the step of rule generation is necessarily exhaustive because of...
This paper describes a parallel associative pro-cessor, IXM2, developed mainly for semantic network ...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
Associative classifiers have proven to be very effective in classification problems. Unfortunately, ...