A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification

Mã QR

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...

Mô tả đầy đủ

Đã lưu trong:

Chi tiết về thư mục
Những tác giả chính:	Phạm, Quang Huy, Alioune Ngom, Luis Rueda
Định dạng:	Conference poster
Ngôn ngữ:	English
Được phát hành:	IEEE 2023
Những chủ đề:	machine learning feature selection
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/handle/123456789/2711
Các nhãn:	Thêm thẻ Không có thẻ, Là người đầu tiên thẻ bản ghi này!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Những quyển sách tương tự

A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies
Bỡi: Tabl, Ashraf Abou, et al.
Được phát hành: (2023)

A novel approach for identifying relevant genes for breast cancer survivability on specific therapies
Bỡi: Phạm, Quang Huy, et al.
Được phát hành: (2023)

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
Bỡi: Mucaki, Eliseos J, et al.
Được phát hành: (2023)

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
Bỡi: Mucaki, Eliseos J, et al.
Được phát hành: (2023)

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
Bỡi: Phạm, Quang Huy, et al.
Được phát hành: (2023)

A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
Bỡi: Phạm, Quang Huy, et al.
Được phát hành: (2023)

Correlation-based feature selection for machine learning /
Bỡi: Hall, Mark A.
Được phát hành: (1999)

Estimation and Feature Selection in High-Dimensional Mixtures-of-Experts Models
Bỡi: Huỳnh, Bảo Tuyên
Được phát hành: (2023)

On vocalic feature hierarchisation /
Bỡi: Staun, Jorgen.

A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
Bỡi: Phạm, Quang Huy, et al.
Được phát hành: (2023)

Item selection in computerized classification testing /
Bỡi: Thompson, Nathan A.

Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
Bỡi: Mandic, Danilo P.
Được phát hành: (2001)

Face recognition with discriminating 3D DCT coefficients /
Bỡi: Gunlu, Goksel.

Mel- and mellin-cepstral feature extraction algorithms for face recognition /
Bỡi: Cakir, Serdar.

Inferring selection in partially sequenced regions /
Bỡi: Jensen, Jeffrey D.

Human resource selection
Bỡi: Gatewood, Robert D.
Được phát hành: (2008)

Human resource selection
Bỡi: Gatewood, Robert D.
Được phát hành: (2008)

Feature & magazine writing :
Bỡi: Sumner, David E.
Được phát hành: (2005)

Contrasting the efficacy of selection on the X and autosomes in Drosophila /
Bỡi: Singh, Nadia D.

Introduction to machine learning /
Bỡi: Nilsson, Nils J.
Được phát hành: (1996)

Introduction to machine learning : An early draft of a proposed textbook /
Bỡi: Nilsson, Nils J.
Được phát hành: (1996)

Machine learning and its applications : Advanced Lecture
Bỡi: G.J. Carbonell
Được phát hành: (2018)

Selection
Bỡi: Graham Bell
Được phát hành: (2008)

Localized model selection for regression /
Bỡi: Yang, Yuhong.

Selection of ordinally scaled independent variables with applications to international classification of functioning core sets /

Female asynchrony may drive disruptive sexual selection on male mating phenotypes in a Heliconius butterfly /
Bỡi: Mendoza-Cuenca, Luis.

A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
Bỡi: Phạm, Quang Huy
Được phát hành: (2023)

An axiomatic design approach of nanofluid-engineered nuclear safety features for generation III+ react /

Advances in learning classifier systems : third international workshop, IWLCS 2000, Paris, France, September 15-16, 2000 : revised papers /
Được phát hành: (2001)

Myopia of selection : Does organizational adaptation limit the efficacy of population selection? /
Bỡi: Levinthal, Daniel.

Guest editors' editorial : Recent developments in model selection and related areas /
Bỡi: Leeb, Hannes.

Sexual selection and the adaptive evolution of mammalian ejaculate proteins /

On using physical analogies for feature and shape extraction in computer vision /

Breast cancer
Được phát hành: (1999)

A radiation-derived gene expression signature predicts clinical outcome for breast cancer patients /

Complex selection on intron size in cryptococcus neoformans /
Bỡi: Hughes, Stephanie S.

The Soviet Union: A systematic geography
Được phát hành: (1990)

Catfish in black bean sauce
Được phát hành: (2001)

Machine learning
Bỡi: Mitchell, Tom M.
Được phát hành: (1997)

Deep learning
Bỡi: Goodfellow, Ian
Được phát hành: (2016)