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Machine learningRule learning

Uundaji wa Kanuni (RIPPER)

Uundaji wa Kanuni, na hasa algorithm ya RIPPER (Repeated Incremental Pruning to Produce Error Reduction), ni njia ya kujifunza mashine iliyosimamiwa ambayo hujifunza seti dhibiti ya kanuni za uainishaji za IF-THEN kutoka kwa data ya mafunzo yenye lebo. Imeanzishwa na William W. Cohen mwaka 1995, RIPPER hutumia mkakati wa kutenganisha na kushinda pamoja na upunguzaji wa kiwango cha chini cha maelezo (MDL) ili kutoa kanuni ambazo ni sahihi na zinaeleweka, na kuifanya kuwa algorithm muhimu katika uwanja wa uundaji wa kanuni za uhalisia.

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Vyanzo

  1. Cohen, W. W. (1995). Fast effective rule induction. Proceedings of the 12th International Conference on Machine Learning, 115–123. DOI: 10.1016/B978-1-55860-377-6.50023-2

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Rule Induction (RIPPER). ScholarGate. https://scholargate.app/sw/machine-learning/rule-induction

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Imerejelewa na

ScholarGateRule Induction (Rule Induction (RIPPER)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/rule-induction · Seti ya data: https://doi.org/10.5281/zenodo.20539026