Towards practical machine learning techniques

Yoram Reich*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Most research on the application of machine learning to engineering problems have solved artificial problems. While research claimed to have reached results that would improve practice, these results have never been put to work by engineers themselves in solving their problems. A different approach of doing research on machine learning application is presented and a system design that may result in tangible practical results is outlined. The development of this system is underway.

Original languageEnglish
Title of host publicationComputing in Civil Engineering (New York)
EditorsKhalil Khozeimeh
PublisherPubl by ASCE
Pages885-892
Number of pages8
Edition1
ISBN (Print)0784400261
StatePublished - 1994
EventProceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2) - Washington, DC, USA
Duration: 20 Jun 199422 Jun 1994

Publication series

NameComputing in Civil Engineering (New York)
Number1

Conference

ConferenceProceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2)
CityWashington, DC, USA
Period20/06/9422/06/94

Fingerprint

Dive into the research topics of 'Towards practical machine learning techniques'. Together they form a unique fingerprint.

Cite this