Towards practical machine learning techniques

Yoram Reich

Towards practical machine learning techniques

Yoram Reich^*

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Computing in Civil Engineering (New York)
Editors	Khalil Khozeimeh
Publisher	Publ by ASCE
Pages	885-892
Number of pages	8
Edition	1
ISBN (Print)	0784400261
State	Published - 1994
Event	Proceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2) - Washington, DC, USA Duration: 20 Jun 1994 → 22 Jun 1994

Publication series

Name	Computing in Civil Engineering (New York)
Number	1

Conference

Conference	Proceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2)
City	Washington, DC, USA
Period	20/06/94 → 22/06/94

Cite this

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title = "Towards practical machine learning techniques",

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.",

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BT - Computing in Civil Engineering (New York)

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Y2 - 20 June 1994 through 22 June 1994

ER -

Towards practical machine learning techniques

Abstract

Publication series

Conference

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