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Publications by Ping-Yang Chen
Milr: Multiple-Instance Logistic Regression With Lasso Penalty
R Journal
Uncertainty
Numerical Analysis
Statistics
Probability
Related publications
Table 3: Multiple Logistic Regression Analysis.
Valid Statistical Analysis for Logistic Regression With Multiple Sources
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Clustering in Linear-Mixed Models With a Group Fused Lasso Penalty
Biometrical Journal
Medicine
Uncertainty
Statistics
Probability
Wavelet-Based LASSO in Functional Linear Regression
Journal of Computational and Graphical Statistics
Combinatorics
Uncertainty
Statistics
Probability
Discrete Mathematics
Image Quality Assessment With Lasso Regression and Pairwise Score Differences
Multimedia Tools and Applications
Media Technology
Computer Networks
Hardware
Communications
Architecture
Software
Revisit of Logistic Regression
International Journal of Advanced Computer Science and Applications
Computer Science
On Group Comparisons With Logistic Regression Models
An Improved Instance Weighted Linear Regression
Journal of Convergence Information Technology
Revisiting Multiple-Instance Learning via Embedded Instance Selection
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
