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[Submitted on 8 Mar 2024 (v1), last revised 20 Nov 2024 (this version, v2)] View a PDF of the paper titled Select High-Level Features: Efficient Experts from a Hierarchical Classification Network, by Andr'e Kelm and 7 other authors View PDF HTML (experimental) Abstract:This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new hierarchical classification network topology that combines sequential processing of generic low-level features with parallelism and nesting of high-level features. This structure allows for the innovative extraction technique: the ability to select only high-level…