Recognizing Patterns in Seasonal Variation of Pavement Roughness Using Minimum Message Length Inference-Reference-Cited by-同舟云学术

Recognizing Patterns in Seasonal Variation of Pavement Roughness Using Minimum Message Length Inference

Published:2009-02 Issue:2 Volume:24 Page:120-129
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:

Author:

Byrne M.,Albrecht D.,Sanjayan J.G.,Kodikara J.

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-8667.2008.00575.x/fullpdf

Reference25 articles.

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3. Guidelines for road condition monitoring;Austroads;Part 1 - Pavement Roughness,2000

4. Decision tree model of bushfire activity;Dowe;AI Applications,1994

5. Edgoose, T. C. , Allison, L. & Dowe, D. L. (1998), An MML Classification of protein structure that knows about angles and sequences, in Proceedings of the 3rd Pacific Symp. Biocomp. (PSB-98), HI, USA, 1998, 585-96.

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