A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification
Feature selection is a useful technique in classification (and regression) problems to find the most informative features for predicting but still preserves the data generality. However, some feature subset searching methods are too exhaustive while others are too greedy. On the other hand, paramete...
Kaydedildi:
Asıl Yazarlar: | Phạm, Quang Huy, Alioune Ngom, Luis Rueda |
---|---|
Materyal Türü: | Conference poster |
Dil: | English |
Baskı/Yayın Bilgisi: |
IEEE
2023
|
Konular: | |
Online Erişim: | https://scholar.dlu.edu.vn/handle/123456789/2711 |
Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
Benzer Materyaller
-
A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies
Yazar:: Tabl, Ashraf Abou, ve diğerleri
Baskı/Yayın Bilgisi: (2023) -
Machine Learning Approaches for Breast Cancer Survivability Prediction
Yazar:: Phạm, Quang Huy
Baskı/Yayın Bilgisi: (2023) -
A novel approach for identifying relevant genes for breast cancer survivability on specific therapies
Yazar:: Phạm, Quang Huy, ve diğerleri
Baskı/Yayın Bilgisi: (2023) -
Estimation and feature selection in high-dimensional mixtures-of-experts models
Yazar:: Huỳnh, Bảo Tuyên
Baskı/Yayın Bilgisi: (2023) -
A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
Yazar:: Phạm, Quang Huy, ve diğerleri
Baskı/Yayın Bilgisi: (2023)