Výsledky vyhledávání - "Class variable"

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Multi-Dimensional Classification via Decomposed Label Encoding

Autor: Min-Ling Zhang, Bin-Bin Jia

Publikováno v: IEEE Transactions on Knowledge and Data Engineering. 35:1844-1856

In multi-dimensional classification (MDC), a number of class variables are assumed in the output space with each of them specifying the class membership w.r.t. one heterogeneous class space. One major challenge in learning from MDC examples lies in t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4947e71eca9ac86ca22f2ea6f6940d2f
https://doi.org/10.1109/tkde.2021.3100436

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A hybrid multi-stage learning technique based on brain storming optimization algorithm for breast cancer recurrence prediction

Autor: Malek Alzaqebah, Mariem Zouch, Noura M. Alotaibi, Maram Alwohaibi, Abeer M Al-Zahrani

Publikováno v: Journal of King Saud University - Computer and Information Sciences. 34:5192-5203

Breast cancer disease is considered to be the second leading reason for death among women. Unfortunately, even if the treatment of cancer started soon after diagnosis, the cancer cells may remain in the body, and cancer may recur. Various Machine Lea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f4b7596255b3a751689703394ac88f5
https://doi.org/10.1016/j.jksuci.2021.05.004

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SYNTHESIS OF HIGH-CLASS MECHANISMS OF VARIABLE STRUCTURE BASED ON DYNAMIC ANALYSIS

Autor: Z.G. Ualiyev, G. Ualiyev

Publikováno v: BULLETIN Series of Physics & Mathematical Sciences. 73:114-119

This paper presents the model of a high class variable structure mechanism. These mechanisms have not gained widespread acceptance in practice, despite obvious improvements in the ability to transmit motion and power. The article presents a synthesiz

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd5d0b5b23a8951cdee71920126d9775
https://doi.org/10.51889/2021-1.1728-7901.17

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Improving nature-inspired algorithms for feature selection

Autor: Zakariya Yahya Algamal, Omar Saber Qasim, Niam Abdulmunim Al-Thanoon

Publikováno v: Journal of Ambient Intelligence and Humanized Computing. 13:3025-3035

Selecting highly discriminative features from a whole feature set has become an important research area. Not only can this improve the performance of classification, but it can also decrease the cost of system diagnoses when a large number of noisy,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::380f8086a948a661c3bade6de7eda15b
https://doi.org/10.1007/s12652-021-03136-6

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Semi-Supervised Multi-Label Learning for Classification of Wafer Bin Maps With Mixed-Type Defect Patterns

Autor: Hyuck Jin Lee, Heeyoung Kim

Publikováno v: IEEE Transactions on Semiconductor Manufacturing. 33:653-662

After wafer fabrication, individual chips on the wafer are checked for defects by using multiple electrical tests. The test results can be represented by binary values for all individual chips, which form a spatial map called a wafer bin map (WBM). D

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5cea8319307f3fecce9dcd642316eb45
https://doi.org/10.1109/tsm.2020.3027431

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Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling

Autor: Stephen Stark, John M. Ferron, Eunsook Kim, Yan Wang, Tony Xing Tan, Robert F. Dedrick

Publikováno v: Educ Psychol Meas

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of exc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc524332fb11b8a10dd4c826935ae5d
https://doi.org/10.1177/0013164420925122

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Maximum Margin Multi-Dimensional Classification

Autor: Min-Ling Zhang, Bin-Bin Jia

Publikováno v: AAAI

Multi-dimensional classification (MDC) assumes heterogeneous class spaces for each example, where class variables from different class spaces characterize semantics of the example along different dimensions. The heterogeneity of class spaces leads to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c00a815e2c58aceb425d6e9af06cf07a
https://doi.org/10.1609/aaai.v34i04.5855

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