Foundations of statistical natural language processing
Foundations of statistical natural language processing
Sparse Distributed Memory
Classification Based Retrieval Using Formal Concept Analysis
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Fast Adaptive Layout Algorithm for Undirected Graphs
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
A deterministic dynamic associative memory (ddam) model for concept space representation
A deterministic dynamic associative memory (ddam) model for concept space representation
Formal concept analysis as mathematical theory of concepts and concept hierarchies
Formal Concept Analysis
Alpha galois lattices: an overview
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
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The Deterministic Dynamic Associative Memory (DDAM) is a novel associative memory model which generalizes the trie model and addresses the issues of case representation and retrieval. This paper is an overview of the DDAM model outlining its rationale, some of its design principles and its similarities with existing models and approaches. The paper will also report on a selection of experimental results.