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Eigenvectors

Identifying influential nodes based on network representation learning in complex networks

Hao Wei, Zhisong Pan, [ ... ], Xingyu Zhou

A new quantum approach to binary classification

Giuseppe Sergioli, Roberto Giuntini, Hector Freytes

Impact of Marker Ascertainment Bias on Genomic Selection Accuracy and Estimates of Genetic Diversity

Nicolas Heslot, Jessica Rutkoski, [ ... ], Mark E. Sorrells

Host Centrality in Food Web Networks Determines Parasite Diversity

Tavis K. Anderson, Michael V. K. Sukhdeo

Theoretical Formulation of Principal Components Analysis to Detect and Correct for Population Stratification

Jianzhong Ma, Christopher I. Amos

Limits of Principal Components Analysis for Producing a Common Trait Space: Implications for Inferring Selection, Contingency, and Chance in Evolution

Kevin J. Parsons, W. James Cooper, R. Craig Albertson

Changing Patterns of Microhabitat Utilization by the Threespot Damselfish, Stegastes planifrons, on Caribbean Reefs

William F. Precht, Richard B. Aronson, Ryan M. Moody, Les Kaufman

Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization

Michael Biehl, Kerstin Bunte, Petra Schneider

Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Paolo Belardinelli, Erick Ortiz, [ ... ], Hubert Preissl

Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement

Justine I. Blanford, Zhuojie Huang, Alexander Savelyev, Alan M. MacEachren

Point cloud registration from local feature correspondences—Evaluation on challenging datasets

Tomas Petricek, Tomas Svoboda

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment

Jianfang Cao, Min Wang, Yanfei Li, Qi Zhang

Laplacian Eigenfunctions Learn Population Structure

Jun Zhang, Partha Niyogi, Mary Sara McPeek

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