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Polu-nadgledani Gaussov proces

Polu-nadgledani Gaussov proces proširuje vjerojatnosni GP okvir kako bi iskoristio neoznačene podatke uz mali skup označenih opažanja. Postavljanjem GP predznaka nad funkcijama i iskorištavanjem geometrijske strukture otkrivene neoznačenim ulazima, uči preciznije i bolje kalibrirane prediktore od čisto nadgledanog GP-a kada su oznake oskudne, što ga čini prikladnim za znanstvene i medicinske probleme gdje je anotacija skupa.

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Izvori

  1. Lawrence, N. D., & Jordan, M. I. (2004). Semi-supervised learning via Gaussian processes. In Advances in Neural Information Processing Systems (NIPS), 17, 753–760. MIT Press. link
  2. Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian Processes for Machine Learning. MIT Press. ISBN: 978-0-262-18253-9

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Semi-supervised Gaussian Process Regression and Classification. ScholarGate. https://scholargate.app/hr/machine-learning/semi-supervised-gaussian-process

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Citirana u

ScholarGateSemi-supervised Gaussian Process (Semi-supervised Gaussian Process Regression and Classification). Preuzeto 2026-06-15 s https://scholargate.app/hr/machine-learning/semi-supervised-gaussian-process · Skup podataka: https://doi.org/10.5281/zenodo.20539026