Configurable Parallel Induction Machines

Autor:	Karina Ionkina, Monte Hancock, Raman Kannan
Rok vydání:	2021
Předmět:	Focus (computing) Fundamental theorem business.industry Scripting language Computer science No free lunch theorem Flynn's taxonomy Software engineering business computer.software_genre computer Model building
Zdroj:	Augmented Cognition ISBN: 9783030781132 HCI (15)
Popis:	Machine Learning practice in general offers significant opportunities for parallel computing and practicing sound software engineering. More often than not, practitioners routinely write dataset specific scripts and learners focus on model building and refining. Focusing on particular models is not consistent with NFL, a fundamental theorem in Machine Learning. Not minding time-honored software engineering principles is inefficient. In this paper, we present our implementation of MISD machine, consistent with No Free Lunch Theorem, problems we encountered and our approach to solve those problems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e4e2ebd623932241af5913788c99f241 https://doi.org/10.1007/978-3-030-78114-9_28 Zobrazit plný text záznamu