Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data

The objective of this study was to improve classification accuracy in cancer microarray gene expression data using a collection of machine learning algorithms available in WEKA. State of the art deterministic classification methods, such as: Kernel Logistic Regression, Support Vector Machine, Stocha...

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Bibliographic Details
Main Author: Rodrigues, Vânia (author)
Other Authors: Deusdado, Sérgio (author)
Format: conferenceObject
Language:eng
Published: 2020
Subjects:
Machine Learning
Datamining
Deterministic Classifiers
Bioinformatics
Cancer gene expression
Online Access:http://hdl.handle.net/10198/20833
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/20833

Internet

http://hdl.handle.net/10198/20833

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