Self Organization And Associative Memory
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15,106 citations
Cites methods from "Self Organization And Associative M..."
...Iterative hill-climbing methods for autoencoder neural networks (13, 14), self-organizing maps ( 15 ), and latent variable models (16 )d o not have the same guarantees of global optimality or convergence; they also tend to involve many more free parameters, such as learning rates, convergence criteria, and architectural specifications....
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14,635 citations
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...…& Mitchison, 1989; Barrow, 1987; Deco & Parra, 1997; Field, 1987; Földiák, 1990; Földiák & Young, 1995; Grossberg, 1976a, 1976b; Hebb, 1949; Kohonen, 1972, 1982, 1988; Kosko, 1990; Martinetz, Ritter, & Schulten, 1990; Miller, 1994; Mozer, 1991; Oja, 1989; Palm, 1992; Pearlmutter &Hinton,…...
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14,054 citations
13,652 citations
5,288 citations
Cites methods from "Self Organization And Associative M..."
...These include approaches based on splitting and merging such as ISODATA [6], [28], randomized approaches such as CLARA [34], CLARANS [44], methods based on neural nets [35], and methods designed to scale to large databases, including DBSCAN [17], BIRCH [50], and ScaleKM [10]....
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