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Assessment of landslide susceptibility mapping based on XGBoost model: A case study of Yanshan Township

Zhongguo dizhi zaihai yu fangzhi xuebao, 2023
Landslide susceptibility assessment forms the foundation for precise evaluation of landslide risk. To enhance the accuracy and robustness of landslide susceptibility mapping, a state-of-art machine learning algorithm named the extreme gradient boosting ...
Hongyang WU, Chao ZHOU, Xin LIANG, Pengcheng YUAN, Lanbing YU   +4 more
doaj   +1 more source

Differential Analysis and Prediction of Planar Shape at the Head and Tail Ends of Medium-Thickness Plate Rolling

Metals, 2023
This paper aims to improve planar shape prediction accuracy in the rolling process of medium and thick plates. We present a model based on the strip method that addresses limitations in predicting planar shape variations at the head and tail ends of ...
Shiyu Yang, Hongmin Liu, Dongcheng Wang
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Genomic Prediction Using LD-Based Haplotypes Inferred From High-Density Chip and Imputed Sequence Variants in Chinese Simmental Beef Cattle

Frontiers in Genetics, 2021
A haplotype is defined as a combination of alleles at adjacent loci belonging to the same chromosome that can be transmitted as a unit. In this study, we used both the Illumina BovineHD chip (HD chip) and imputed whole-genome sequence (WGS) data to ...
Hongwei Li, Bo Zhu, Bo Zhu, Ling Xu, Zezhao Wang, Lei Xu, Peinuo Zhou, Han Gao, Peng Guo, Yan Chen, Xue Gao, Lupei Zhang, Huijiang Gao, Huijiang Gao, Wentao Cai, Lingyang Xu, Junya Li, Junya Li   +17 more
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Factors Influencing Genomic Prediction Accuracies of Tropical Maize Resistance to Fall Armyworm and Weevils

Plants, 2020
Genomic selection (GS) can accelerate variety improvement when training set (TS) size and its relationship with the breeding set (BS) are optimized for prediction accuracies (PAs) of genomic prediction (GP) models.
Arfang Badji, Lewis Machida, Daniel Bomet Kwemoi, Frank Kumi, Dennis Okii, Natasha Mwila, Symphorien Agbahoungba, Angele Ibanda, Astere Bararyenya, Selma Ndapewa Nghituwamhata, Thomas Odong, Peter Wasswa, Michael Otim, Mildred Ochwo-Ssemakula, Herbert Talwana, Godfrey Asea, Samuel Kyamanywa, Patrick Rubaihayo   +17 more
doaj   +1 more source

Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize

Frontiers in Plant Science, 2021
In maize, doubled haploid (DH) line production capacity of large-sized maize breeding programs often exceeds the capacity to phenotypically evaluate the complete set of testcross candidates in multi-location trials.
Yoseph Beyene, Manje Gowda, Paulino Pérez-Rodríguez, Michael Olsen, Kelly R. Robbins, Juan Burgueño, Boddupalli M. Prasanna, Jose Crossa   +7 more
doaj   +1 more source

Predictive accuracy in the neuroprediction of rearrest [PDF]

Social Neuroscience, 2014
A recently published study by the present authors reported evidence that functional changes in the anterior cingulate cortex within a sample of 96 criminal offenders who were engaged in a Go/No-Go impulse control task significantly predicted their rearrest following release from prison.
Aharoni, Eyal, Mallett, Joshua, Vincent, Gina M., Harenski, Carla L., Calhoun, Vince D., Sinnott-Armstrong, Walter, Gazzaniga, Michael S., Kiehl, Kent A.   +7 more
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Incorporating Genome Annotation Into Genomic Prediction for Carcass Traits in Chinese Simmental Beef Cattle

Frontiers in Genetics, 2020
Various methods have been proposed for genomic prediction (GP) in livestock. These methods have mainly focused on statistical considerations and did not include genome annotation information.
Ling Xu, Ning Gao, Zezhao Wang, Lei Xu, Ying Liu, Yan Chen, Lingyang Xu, Xue Gao, Lupei Zhang, Huijiang Gao, Huijiang Gao, Bo Zhu, Bo Zhu, Junya Li, Junya Li   +14 more
doaj   +1 more source

Generality Is Predictive of Prediction Accuracy [PDF]

, 2006
During knowledge acquisition it frequently occurs that multiple alternative potential rules all appear equally credible. This paper addresses the dearth of formal analysis about how to select between such alternatives. It presents two hypotheses about the expected impact of selecting between classification rules of differing levels of generality in the
Geoffrey I. Webb, Damien Brain
openaire   +1 more source

On the Accuracy of the Model Predictive Control Method

SIAM Journal on Control and Optimization, 2022
The paper investigates the accuracy of the Model Predictive Control (MPC) method for finding online approximate optimal feedback control for Bolza type problems on a fixed finite horizon. The predictions for the dynamics, the state measurements, and the solution of the auxiliary open-loop control problems that appear at every step of the MPC method may
Georgi Angelov, Alberto Domínguez Corella, Vladimir M. Veliov   +2 more
openaire   +3 more sources

Automatic prediction of parser accuracy [PDF]

Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08, 2008
Statistical parsers have become increasingly accurate, to the point where they are useful in many natural language applications. However, estimating parsing accuracy on a wide variety of domains and genres is still a challenge in the absence of gold-standard parse trees.
Sujith Ravi, Kevin Knight, Radu Soricut
openaire   +2 more sources