2003/02/12 by J. Gerard Wolff, J. G. Wolff, Wolff, J. G. · 1 citation
Computer Science · #Algorithms and Data Compression #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #cs.AI #cs.LG
paper · pdf · doi:10.48550/arxiv.cs/0302015
39 pages, 1 JPEG figure
arxiv created 2003/02/12 · arxiv updated 2009/11/30
This paper describes a novel approach to unsupervised learning that has been developed within a framework of "information compression by multiple alignment, unification and search" (ICMAUS), designed to integrate learning with other AI functions such as parsing and production of language, fuzzy pattern recognition, probabilistic and exact forms of reasoning, and others.