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• Autores: Kannika Khompurngson, Charles A. Micchelli
• Localización: Jaen journal on approximation, ISSN 1889-3066, ISSN-e 1989-7251, Vol. 3, Nº. 1, 2011, págs. 87-115
• Idioma: español
• Texto completo no disponible (Saber más ...)
• Resumen

  • In this paper we explore some aspects of the Hypercircle Inequality (Hi) in the context of kernel-based machine learning. We briefly describe Hi and its potential relevance to kernel- based learning when the data is known exactly and then extend it to circumstances where there is known data error (Hide).