نتائج البحث

Improving Land Cover Classification Using Genetic Programming for Feature Construction

• Authors : Ana I. R. Cabral; Leonardo Vanneschi; Sara Silva ...

Subjects: 010504 meteorology & atmospheric sciences; Spectral indices; Computer science

• Source: Repositório Científico de Acesso Aberto de PortugalRepositório Científico de Acesso Aberto de Portugal (RCAAP)instacron:RCAAPRemote Sensing; Volume 13; Issue 9; Pages: 1623

تفاصيل العنوان

Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors

• Authors : Peter A. N. Bosman; Cees Witteveen; Tanja Alderliesten ...

Subjects: Meta learning (computer science); Computer science; Evolutionary algorithm

• Source: GECCO 2018-Proceedings of the 2018 Genetic and Evolutionary Computation Conference, 1395-1402STARTPAGE=1395;ENDPAGE=1402;TITLE=GECCO 2018-Proceedings of the 2018 Genetic and Evolutionary

تفاصيل العنوان

A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector

• Authors : Emma Hart; Barry Gardiner; Kevin Sim

Subjects: 0106 biological sciences; Computer science; business.industry

• Source: GECCO

تفاصيل العنوان

An efficient approach for feature construction of high-dimensional microarray data by random projections

• Authors : Hassan Tariq; Ian Welch; Elf Eldridge

Subjects: Melanomas; Male; 0301 basic medicine

• Source: PLoS ONEPLoS ONE, Vol 13, Iss 4, p e0196385 (2018)

تفاصيل العنوان

Feature Comparison and Optimization for 30-M Winter Wheat Mapping Based on Landsat-8 and Sentinel-2 Data Using Random Forest Algorithm

• Authors : Yuanhuizi He; Changlin Wang; Fang Chen

Subjects: winter wheat; random forest; cropland extractionagris

• Source: Remote Sensing; Volume 11; Issue 5; Pages: 535

تفاصيل العنوان

Construction of Complex Features for Computational Predicting ncRNA-Protein Interaction

• Authors : Qiguo Dai; Maozu Guo; Xiaodong Duan

Subjects: ncRNA-protein interaction; complex feature; feature construction

• Source: Frontiers in Genetics, Vol 10 (2019)

تفاصيل العنوان

On explaining machine learning models by evolving crucial and compact features

• Authors : Tanja Alderliesten; Marco Virgolin; Peter A. N. Bosman ...

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; General Computer Science

• Source: Swarm and Evolutionary Computation, 53:100640. Elsevier BVSWARM AND EVOLUTIONARY COMPUTATION, 53. ELSEVIERSwarm and Evolutionary Computation, 53

تفاصيل العنوان

An Empirical Investigation on a Multiple Filters-Based Approach for Remaining Useful Life Prediction

• Authors : Hung-Cuong Trinh; Yung-Keun Kwon

Subjects: Control and Optimization; overfitting; Computer science

• Source: Machines, Vol 6, Iss 3, p 35 (2018)MachinesVolume 6Issue 3

تفاصيل العنوان

基于特征频繁度的勒索软件检测方法研究.

• Authors : 龚　琪¹ ; 曹金璇¹; 芦天亮¹

• Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Aug2018, Vol. 35 Issue 8, p2435-2438. 4p.

تفاصيل العنوان

Evaluating The Performance of Machine Learning Models in Audit Opinion Prediction – A Study in Vietnam

• Authors : Dang Dinh, Tan

Subjects: Audit opinion prediction; machine learning; Random Forest

• Source: Engineering and Technology Journal, 9(10), 5370-5378, (2024-10-17)

تفاصيل العنوان