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Classification Functions for Machine Learning and Data MiningHemiparesis 发表于 2025-3-22 02:23:18
Book 2024ir corresponding classes. Unnecessary variables are eliminated, and the rules are simplified before being transformed into a sum-of-products (SOP) form. The resulting SOP exhibits the ability to generalize and predict outputs for new inputs. The effectiveness of this approach is demonstrated throughConfound 发表于 2025-3-22 06:36:30
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Easily Reconstructable Functions,ions, monotone increasing cascade functions, functions generated from random SOPs, and monotone increasing random SOPs. As for machine learning methods, Naive Bayes, multi-level perceptron, support vector machine, JRIP, J48, and random forest are considered in addition to SOP minimization.follicular-unit 发表于 2025-3-22 19:28:53
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1932-3166edge computing devices, where low power dissipation and higThis book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques. This approach boasts a reduced hardware requirement, lower power consumption, and enhanced interpretability. Th难解 发表于 2025-3-23 05:06:01
Tsutomu SasaoDemonstrates a method to implement machine learning and data mining using look-up tables, rather than neural networks.Enables application on edge computing devices, where low power dissipation and higlesion 发表于 2025-3-23 06:57:09
Synthesis Lectures on Digital Circuits & Systemshttp://image.papertrans.cn/c/image/227187.jpg