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Chih-Ling Tsai

dblp:65/6172 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 77% Kernel, tree and ensemble methods · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning
subgroup analysis		 0.112009
Subgroup Analysis via Recursive Partitioning · J. Mach. Learn. Res. 2009
Machine learning › Kernel, tree and ensemble methods
recursive partitioning		 0.012009
Subgroup Analysis via Recursive Partitioning · J. Mach. Learn. Res. 2009
YearPublicationVenuePosition
2009 Subgroup Analysis via Recursive Partitioning
Xiaogang Su, Chih-Ling Tsai, Hansheng Wang 0002, David M. Nickerson, Bogong Li
 J. Mach. Learn. Res.2
2009 Tree-structured model diagnostics for linear regression
Xiaogang Su, Chih-Ling Tsai, Morgan C. Wang
 Mach. Learn.2
2001 Two conflict potentials during IS development
Quey-Jen Yeh, Chih-Ling Tsai
 Inf. Manag.2