清楚 发表于 2025-3-30 10:08:45

Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization978-3-030-19642-4Series ISSN 2194-5357 Series E-ISSN 2194-5365

废除 发表于 2025-3-30 15:19:12

Jürgen Bokowski,Bernd SturmfelsThis paper introduces representations and measurements for revealing the inner self-organization that occurs in a 1D recurrent self-organizing map. Experiments show the incredible richness and robustness of an extremely simple architecture when it extracts hidden states of the HMM that feeds it with ambiguous and noisy inputs.

柳树;枯黄 发表于 2025-3-30 19:36:57

Look and Feel What and How Recurrent Self-Organizing Maps LearnThis paper introduces representations and measurements for revealing the inner self-organization that occurs in a 1D recurrent self-organizing map. Experiments show the incredible richness and robustness of an extremely simple architecture when it extracts hidden states of the HMM that feeds it with ambiguous and noisy inputs.

发现 发表于 2025-3-30 23:59:19

https://doi.org/10.1007/978-3-030-19642-4Computational Intelligence; Intelligent Systems; LVQ; Learning Vector Quantization; SOM; Self-Organizing

断断续续 发表于 2025-3-31 01:07:52

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REP 发表于 2025-3-31 06:48:19

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一大块 发表于 2025-3-31 10:05:34

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查看完整版本: Titlebook: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization; Proceedings of the 1 Alfredo Vellido,Kar