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Can I read Data-driven Approaches to Empirical Discovery on EtoBox?
Data-driven Approaches to Empirical Discovery by Pat Langley; Jan M. Zytkow is a Computer Science article available to read on EtoBox.
What is Data-driven Approaches to Empirical Discovery about?
In this paper we track the development of research in empirical discovery. We focus on four machine discovery systems that share a number of features: the use of data-driven heuristics to constrain the search for numeric laws; a reliance on theoretical terms; and the recursive application of a few general discovery methods. We examine each system in light of the innovations it introduced over its predecessors, providing some insight into the conceptual progress that has occurred in machine discovery. Finally, we reexamine this research from the perspectives of the history and philosophy of science.
Who reads Data-driven Approaches to Empirical Discovery?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Pat Langley; Jan M. Zytkow
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0004-3702)
- Published
- 1989
- Language
- EN
- Field
- Computer Science (Physical Sciences)