Classifying black and white spruce pollen using layered machine learning-Reference-Cited by-同舟云学术

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Classifying black and white spruce pollen using layered machine learning

Published:2012-09-03 Issue:3 Volume:196 Page:937-944
ISSN:0028-646X
Container-title:New Phytologist
language:en
Short-container-title:New Phytol

Author:

Punyasena Surangi W.¹²,Tcheng David K.²³,Wesseln Cassandra¹,Mueller Pietra G.⁴

Affiliation:

1. Department of Plant Biology University of Illinois 505 S. Goodwin Avenue Urbana IL 61801 USA

2. Illinois Informatics Institute University of Illinois 1205 West Clark Street Urbana IL 61801 USA

3. National Center for Supercomputing Applications 1205 West Clark Street Urbana IL 61801 USA

4. Illinois State Museum Research and Collections Center 1011 E. Ash Street Springfield IL 62703 USA

Publisher

Wiley

Subject

Plant Science,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1469-8137.2012.04291.x

Reference30 articles.

1. Paleoclimate simulations for North America over the past 21,000 years

2. Future uses of pollen analysis must include plant macrofossils

3. Identification of Picea pollen of Late Quaternary age in eastern North America: a numerical approach

4. An evaluation of statistical techniques for discriminating Picea glauca from Picea mariana pollen in northern Alaska

5. Palynological Studies at Sodon Lake: I. Size-Frequency Study of Fossil Spruce Pollen

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