Elizabeth P. Chou - researchr alias

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Viewing Publication 1 - 8 from 8

2024

A virtual multi-label approach to imbalanced data classificationElizabeth P. Chou, Shan-Ping Yang. cssc, 53(3):1461-1471, March 2024. [doi]

2022

Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate DynamicsTing-Li Chen, Fushing Hsieh, Elizabeth P. Chou. entropy, 24(10):1382, 2022. [doi]

Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System ProblemsElizabeth P. Chou, Ting-Li Chen, Fushing Hsieh. entropy, 24(2):170, 2022. [doi]

2021

Categorical Nature of Major Factor Selection via Information Theoretic MeasurementsTing-Li Chen, Elizabeth P. Chou, Fushing Hsieh. entropy, 23(12):1684, 2021. [doi]

Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data AnalysisFushing Hsieh, Elizabeth P. Chou, Ting-Li Chen. entropy, 23(5):594, 2021. [doi]

Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching DynamicsFushing Hsieh, Elizabeth P. Chou. entropy, 23(7):792, 2021. [doi]

2015

Data Driven Geometry for LearningElizabeth P. Chou. mldm 2015: 395-402 [doi]

2013

Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional DataElizabeth P. Chou, Fushing Hsieh, John Capitanio. icmla 2013: 277-282 [doi]

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