Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
Frontiers

Artificial intelligence in cataract grading system: a LOCS III-based hybrid model achieving high-precision classification

Purpose: To design an artificial intelligence (AI) algorithm based on the Lens Opacities Classification System III (LOCS III) to realize automatic diagnosis of cataracts and classification of its.
C&EN

Metal-Ion Optical Fingerprinting Sensor Selection via an Analyte Classification and Feature Selection Algorithm

Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 6997801, Israel Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, ...
Scientific Research Publishing

Wang, Y. Z., & Le, S. B. (2005). Multiboot-Based Minimum Classification Error Algorithm. Small Microcomputers, No. 11, 1948-1950.

ABSTRACT: The improved AdaBoost-SVM algorithm is used to classify the safety and the risk from the Peers-to-Peers net loan platforms. Since the SVM algorithm is hard to deal with the rare samples and ...
IEEE

A training set reduction algorithm for feed-forward neural network using minimum boundary vector distance selection

Abstract: This paper presents an alternative algorithm that can reduce the size of a training set for a feed-forward neural network while obtaining similar levels of accuracy of classification as when ...
IEEE

A hybrid algorithm of minimum spanning tree and nearest neighbor for classifying human cancers

Abstract: Classification and prediction of different cancers based on gene expression profiles are important for cancer diagnosis, cancer treatment and medication discovery. The k nearest neighbor ...