Results 31 to 40 of about 537,050 (171)

Random Prism: An Alternative to Random Forests. [PDF]

, 2011
Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy.
Bramer, Max, Stahl, Frederic
core   +1 more source

Robust Ensemble Learning

, 2000
This chapter contains sections titled: Introduction, Boosting and the Linear Programming Solution, υ-Algorithms, Experiments, Conclusion, Acknowledgments.
Raetsch, Gunnar, Schoelkopf, Bernhard, Smola, Alexander, Mika, Sebastian, Onoda, Takashi, Muller, Klaus-Robert   +5 more
openaire   +3 more sources

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

Predicting seismic-induced liquefaction through ensemble learning frameworks

Scientific Reports, 2019
The regional nature of liquefaction records and limited information available for a certain set of explanatories motivate the development of complex prediction techniques.
Mohammad H. Alobaidi, Mohamed A. Meguid, Fateh Chebana   +2 more
doaj   +1 more source

Ensemble learning of linear perceptron; Online learning theory

, 2004
Within the framework of on-line learning, we study the generalization error of an ensemble learning machine learning from a linear teacher perceptron.
Breiman L., Freund Y., Hara K., Hara K., Krogh A., Lazarevic A., Miyoshi S., Nishimori H., Urbanczik R.   +8 more
core   +1 more source

ENSEMBLE LEARNING ALGORITHMS

Journal of Science and Arts, 2022
Artificial intelligence is a method that is increasingly becoming widespread in all areas of life and enables machines to imitate human behavior. Machine learning is a subset of artificial intelligence techniques that use statistical methods to enable machines to evolve with experience.
SELIN CEREN TURAN, MEHMET ALI CENGIZ
openaire   +1 more source

Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation

BMC Bioinformatics, 2021
Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that of normal ...
Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yen-Ming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho   +8 more
doaj   +1 more source

Statistical Mechanics of Linear and Nonlinear Time-Domain Ensemble Learning

, 2006
Conventional ensemble learning combines students in the space domain. In this paper, however, we combine students in the time domain and call it time-domain ensemble learning.
Cesa-Bianchi N., Freund Y., Freund Y., Hara K., Inoue J. I., Krogh A., Miyoshi S., Miyoshi S., Miyoshi S., Miyoshi S., Nishimori H., Saad D., Urbanczik R.   +12 more
core   +1 more source

Ensemble Techniques Based Risk Classification for Maternal Health During Pregnancy

Ilkom Jurnal Ilmiah
This research focuses on the critical aspect of maternal health during pregnancy, emphasizing the need for early detection and intervention to address potential risks to both mothers and infants. Leveraging various classification methods, including Naïve
Nurul Fathanah Mustamin, Ariyani Buang, Firman Aziz, Nur Hamdani Nur   +3 more
doaj   +1 more source

The Effect of Bioclimatic Covariates on Ensemble Machine Learning Prediction of Total Soil Carbon in the Pannonian Biogeoregion

Agronomy, 2023
This study employed an ensemble machine learning approach to evaluate the effect of bioclimatic covariates on the prediction accuracy of soil total carbon (TC) in the Pannonian biogeoregion. The analysis involved two main segments: (1) evaluation of base
Dorijan Radočaj, Mladen Jurišić, Vjekoslav Tadić   +2 more
doaj   +1 more source