Building and refining a knowledge base for synthetic organic chemistry via the methodology of inductive and deductive machine learning

Building and refining a knowledge base for synthetic organic chemistry via the methodology of inductive and deductive machine learning

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Veröffentlicht in:Journal of chemical information and computer sciences 1990-11, Vol.30 (4), p.492-504
Hauptverfasser: Gelernter, Herbert, Rose, J. Royce, Chen, Chyouhwa
Format: Artikel
Sprache:eng
Schlagworte:
Exact sciences and technology
Mathematics
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis. Scientific computation
Sciences and techniques of general use
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container_issue 4
container_start_page 492
container_title Journal of chemical information and computer sciences
container_volume 30
creator Gelernter, Herbert
Rose, J. Royce
Chen, Chyouhwa
description
doi_str_mv 10.1021/ci00068a023
format Article
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source ACS Journals: American Chemical Society Web Editions
subjects Exact sciences and technology
Mathematics
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis. Scientific computation
Sciences and techniques of general use
title Building and refining a knowledge base for synthetic organic chemistry via the methodology of inductive and deductive machine learning
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