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Lyle Ungar
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Lyle Ungar : ウィキペディア英語版
Lyle Ungar
Lyle H. Ungar is a machine learning researcher and professor of Computer and Information Science at the University of Pennsylvania,〔(【引用サイトリンク】Lyle H. Ungar )〕 and is also affiliated with the psychology department at the university.〔(【引用サイトリンク】Lyle H. Ungar )
==Research==

Ungar's published research has been primarily in the area of machine learning, specifically text mining.〔(【引用サイトリンク】Lyle Ungar )〕〔 According to his website, his research group "develops scalable machine learning and text mining methods, including clustering, feature selection, and semi-supervised and multi-task learning for natural language, psychology, and medical research. Example projects include spectral learning of language models, multi-view learning for gene expression and MRI data, and mining social media to better understand personality and well-being."〔
Ungar has also done some research in the domain of forecasting, in connection with his membership in The Good Judgment Project, a collaborator of the Aggregative Contingent Estimation (ACE) program of the Intelligence Advanced Research Projects Agency (IARPA).〔〔(【引用サイトリンク】Blog posts by Lyle Ungar )

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