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• W2027263485 abstract "Using lessons learned from error control coding, and multiple areas of life science, we propose a general purpose representation and association machine (GPRAM). GPRAM uses a versatile approach with hierarchical representation and association structures, each with different degrees of vagueness, over-completeness, and deliberate variation. GPRAM machines use vague measurements to do a quick and rough assessment on a task; then use approximated message-passing algorithms to improve assessment; and finally selects ways closer to a solution, eventually solving it. We illustrate concepts and structures using simple examples." @default.
• W2027263485 created "2016-06-24" @default.
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• W2027263485 date "2012-03-01" @default.
• W2027263485 modified "2023-10-18" @default.
• W2027263485 title "General purpose representation and association machine part 1: Introduction and illustrations" @default.
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• W2027263485 doi "https://doi.org/10.1109/secon.2012.6196968" @default.
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