Results 31 to 40 of about 65,886 (196)

Geographical origin identification of dendrobium officinale based on NNRW-stacking ensembles

Machine Learning with Applications
Dendrobium officinale is a well-recognized functional food material. Considering its therapeutic effect and price vary among different geographical origins, this paper proposed an origin identification method based on Raman spectroscopy and NNRW (neural ...
Yinsheng Zhang, Chen Chen, Fangjie Guo, Haiyan Wang   +3 more
doaj   +1 more source

Evolving Non-linear Stacking Ensembles for Prediction of Go Player Attributes

, 2015
The paper presents an application of non-linear stacking ensembles for prediction of Go player attributes. An evolutionary algorithm is used to form a diverse ensemble of base learners, which are then aggregated by a stacking ensemble.
Moudřík, Josef, Neruda, Roman
core   +1 more source

Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model

IEEE Access
The difficulty of detecting liver disease at an early stage goes back to its limited number of symptoms. In this study, single and ensemble machine learning (ML) algorithms are applied to the Indian Liver Patient Dataset (ILPD) dataset, and their results,
Marghany Hassan Mohamed, Botheina Hussein Ali, Ahmed Ibrahim Taloba, Ahmad O. Aseeri, Mohamed Abd Elaziz, Shaker El-Sappagah, Nora Mahmoud El-Rashidy   +6 more
doaj   +1 more source

Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]

, 2015
Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila, Bahnsen, Alejandro Correa, Ottersten, Bjorn   +2 more
core   +2 more sources

Deteksi Malware menggunakan Metode Stacking berbasis Ensemble

Jurnal Informatika: Jurnal Pengembangan IT, 2023
Serangan malware kian hari kian memprihatinkan. Evolusi malware yang cepat dan semakin destruktif menimbulkan kekhawatiran bagi banyak pihak. Oleh karena itu, deteksi malware yang efektif sangat dibutuhkan. Data mining memainkan peran yang krusial dalam bidang ini, mengingat algoritma-algoritma yang ada pada data mining bisa dilatih hingga menghasilkan
Fauzi Adi Rafrastara, Catur Supriyanto, Cinantya Paramita, Yani Parti Astuti   +3 more
openaire   +1 more source

Stacking ensemble learning for optical music recognition

Bulletin of Electrical Engineering and Informatics, 2023
The development of music culture has resulted in a problem called optical music recognition (OMR). OMR is a task in computer vision that explores the algorithms and models to recognize musical notation. This study proposed the stacking ensemble learning model to complete the OMR task using the common western musical notation (CWMN) musical notation ...
Francisco Calvin Arnel Ferano, Amalia Zahra, Gede Putra Kusuma   +2 more
openaire   +1 more source

A Novel Method for Damage Prediction of Stuffed Protective Structure Under Hypervelocity Impact by Stacking Multiple Models

IEEE Access, 2020
Adopting appropriate protective structures to resist the impact of micrometeoroid or space debris on spacecraft is a valuable research content of space engineering.
Wenzhe Ding, Xinhong Li, Hong Yang, Jiping An, Zhibin Zhang   +4 more
doaj   +1 more source

A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics

, 2013
The combination of multiple classifiers using ensemble methods is increasingly important for making progress in a variety of difficult prediction problems. We present a comparative analysis of several ensemble methods through two case studies in genomics,
Pandey, Gaurav, Whalen, Sean
core   +1 more source

Stacking Strong Ensembles of Classifiers

, 2019
A variety of methods have been developed in order to tackle a classification problem in the field of decision support systems. A hybrid prediction scheme which combines several classifiers, rather than selecting a single robust method, is a good alternative solution.
Alexandropoulos, Stamatios-Aggelos, Aridas, Christos, Kotsiantis, Sotiris, Vrahatis, Michael   +3 more
openaire   +2 more sources

Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study

JMIR Bioinformatics and Biotechnology
BackgroundCancer is one of the leading causes of disease burden globally, and early and accurate diagnosis is crucial for effective treatment. This study presents a deep learning–based model designed to classify 5 common types of cancer in Saudi Arabia ...
Amani Ameen, Nofe Alganmi, Nada Bajnaid
doaj   +1 more source