Knowledge Center Catalog

Automated Machine Learning : (Record no. 65173)

MARC details
000 -LEADER
fixed length control field 02544nab|a22003857a|4500
001 - CONTROL NUMBER
control field 65173
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919021233.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20223s2022||||mx |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1664-462X
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.3389/fpls.2022.845524
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Galli, G.
9 (RLIN) 8650
245 11 - TITLE STATEMENT
Title Automated Machine Learning :
Remainder of title A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Frontiers,
Date of publication, distribution, etc. 2022.
Place of publication, distribution, etc. Switzerland :
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Machine learning methods such as multilayer perceptrons (MLP) and Convolutional Neural Networks (CNN) have emerged as promising methods for genomic prediction (GP). In this context, we assess the performance of MLP and CNN on regression and classification tasks in a case study with maize hybrids. The genomic information was provided to the MLP as a relationship matrix and to the CNN as “genomic images.” In the regression task, the machine learning models were compared along with GBLUP. Under the classification task, MLP and CNN were compared. In this case, the traits (plant height and grain yield) were discretized in such a way to create balanced (moderate selection intensity) and unbalanced (extreme selection intensity) datasets for further evaluations. An automatic hyperparameter search for MLP and CNN was performed, and the best models were reported. For both task types, several metrics were calculated under a validation scheme to assess the effect of the prediction method and other variables. Overall, MLP and CNN presented competitive results to GBLUP. Also, we bring new insights on automated machine learning for genomic prediction and its implications to plant breeding.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Accuracy
Source of heading or term AGROVOC
9 (RLIN) 27100
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maize
Source of heading or term AGROVOC
9 (RLIN) 1173
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Hybrids
Source of heading or term AGROVOC
9 (RLIN) 1151
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Plant breeding
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1203
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sabadin, F.
9 (RLIN) 21706
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yassue, R.M.
9 (RLIN) 27101
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Galves, C:
9 (RLIN) 27102
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fanelli Carvalho, H.
9 (RLIN) 19807
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crossa, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number CCJL01
9 (RLIN) 59
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, O.A.
Field link and sequence number I1706800
9 (RLIN) 2700
Miscellaneous information Genetic Resources Program
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fritsche-Neto, R.
9 (RLIN) 6507
773 0# - HOST ITEM ENTRY
Title Frontiers in Plant Science
Related parts v. 13, art. 845524
Place, publisher, and date of publication Switzerland : Frontiers, 2022
Record control number 56875
International Standard Serial Number 1664-462X
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/22042
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
04/10/2022   04/10/2022 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 04/10/2022

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