Partially Supervised Learning Using an EM-Boosting Algorithm

Training data in a supervised learning problem consist of the class label and its potential predictors for a set of observations. Constructing effective classifiers from training data is the goal of supervised learning. In biomedical sciences and other scientific applications, class labels may be su...

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Bibliographic Details
Published in:	Biometrics Vol. 60; no. 1; pp. 199 - 206
Main Authors:	Yasui, Yutaka, Pepe, Margaret, Hsu, Li, Adam, Bao-Ling, Feng, Ziding
Format:	Journal Article
Language:	English
Published:	350 Main Street , Malden , MA 02148 , U.S.A , and P.O. Box 1354, 9600 Garsington Road , Oxford OX4 2DQ , U.K Blackwell Publishing 01.03.2004 International Biometric Society
Subjects:	Algorithms Artificial Intelligence Biomarkers, Tumor - blood Biometrics Biometry Biopsies Blood Proteins - analysis Datasets Epidemiology High-dimensional data Humans Learning disabilities Logistic regression Male Mass Spectrometry Misclassification Prostate cancer Prostatic hyperplasia Prostatic Hyperplasia - blood Prostatic Hyperplasia - diagnosis Prostatic Neoplasms - blood Prostatic Neoplasms - diagnosis Proteomics Test data Training
ISSN:	0006-341X, 1541-0420
Online Access:	Get full text
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