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Mkusanyiko wa Kuweka Tabaka Nusu-Simamizi

Mkusanyiko wa Kuweka Tabaka Nusu-Simamizi (Semi-supervised Stacking Ensemble) hupanua mfumo wa kawaida wa ujumlishaji wa tabaka (stacked generalization) hadi kwenye mazingira ambapo sehemu ndogo tu ya mifano ya mafunzo ina lebo. Wanafunzi wa msingi hufunzwa kwanza kwa data yenye lebo, kisha hutumiwa kugawa lebo bandia (pseudo-labels) kwa mifano isiyo na lebo; seti ya data iliyopanuliwa hufunza mifano imara zaidi ya msingi ambayo utabiri wake wa nje ya mkunjo (out-of-fold predictions) huunda pembejeo kwa mwanafunzi-meta (meta-learner), na hivyo kutoa mkusanyiko wa ngazi mbili unaotumia muundo wenye lebo na usio na lebo.

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Vyanzo

  1. Wolpert, D. H. (1992). Stacked generalization. Neural Networks, 5(2), 241–259. DOI: 10.1016/S0893-6080(05)80023-1
  2. Chapelle, O., Schölkopf, B., & Zien, A. (Eds.). (2006). Semi-Supervised Learning. MIT Press. ISBN: 978-0-262-03358-9

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Semi-supervised Stacking Ensemble (Self-trained Stacked Generalization). ScholarGate. https://scholargate.app/sw/machine-learning/semi-supervised-stacking-ensemble

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Imerejelewa na

ScholarGateSemi-supervised Stacking Ensemble (Semi-supervised Stacking Ensemble (Self-trained Stacked Generalization)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/semi-supervised-stacking-ensemble · Seti ya data: https://doi.org/10.5281/zenodo.20539026