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Xiaotong Lin
Researcher at University of Kansas
Publications - 3
Citations - 1315
Xiaotong Lin is an academic researcher from University of Kansas. The author has contributed to research in topics: Bayesian probability & Mutual information. The author has an hindex of 3, co-authored 3 publications receiving 1055 citations. Previous affiliations of Xiaotong Lin include University of Rochester.
Papers
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Journal ArticleDOI
Big Data Deep Learning: Challenges and Perspectives
Xue-wen Chen,Xiaotong Lin +1 more
TL;DR: A brief overview of deep learning is provided, and current research efforts and the challenges to big data, as well as the future trends are highlighted.
Journal ArticleDOI
On Position-Specific Scoring Matrix for Protein Function Prediction
TL;DR: This paper proposes new features extracted from protein sequence only and machine learning-based methods for computational function prediction derived from a position-specific scoring matrix, which has shown great potential in other bininformatics problems.
Journal ArticleDOI
Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm
TL;DR: An algorithm that integrates an information-theory-based and a scoring-function-based approach for learning structures of Bayesian networks that can efficiently and accurately identify complex network structures from data is presented.