Welcome to the Institutional Repository INAOE
Welcome to our Institutional Repository INAOE!
Our repository is a digital platform that contains all our academic, scientific, technological and innovation information, which is linked to the National Repository CONACYT following international standards set out in the Technical Guidelines for the construction of institutional repositories published by CONACYT.
Browsing by Author Angel Diaz Pacheco
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Issue Date | Title | Publication Type/ Resource Type | Author(s) | Submit Date |
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Feb-2019 | A full meta-learning approach to assist in the full model selection problem in high volume datasets | Tesis de doctorado | Angel Diaz Pacheco | 21-Mar-2019 |
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