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Kernel methods

Interpretation and Visualization of Non-Linear Data Fusion in Kernel Space: Study on Metabolomic Characterization of Progression of Multiple Sclerosis

Agnieszka Smolinska, Lionel Blanchet, [ ... ], Lutgarde M. C. Buydens

Contingent Kernel Density Estimation

Scott Fortmann-Roe, Richard Starfield, Wayne M. Getz

Measuring Empathizing and Systemizing with a Large US Sample

Daniel B. Wright, Elin M. Skagerberg

Intrusion Experiments to Measure Territory Size: Development of the Method, Tests through Simulations, and Application in the Frog Allobates femoralis

Max Ringler, Eva Ringler, Daniela Magaña Mendoza, Walter Hödl

Calpain Cleavage Prediction Using Multiple Kernel Learning

David A. duVerle, Yasuko Ono, Hiroyuki Sorimachi, Hiroshi Mamitsuka

Nonparametric Evaluation of Dynamic Disease Risk: A Spatio-Temporal Kernel Approach

Zhijie Zhang, Dongmei Chen, [ ... ], Qingwu Jiang

Flexible Kernel Memory

Dimitri Nowicki, Hava Siegelmann

Bayesian Markov Random Field Analysis for Protein Function Prediction Based on Network Data

Yiannis A. I. Kourmpetis, Aalt D. J. van Dijk, [ ... ], Cajo J. F. ter Braak

On Evaluating MHC-II Binding Peptide Prediction Methods

Yasser EL-Manzalawy, Drena Dobbs, Vasant Honavar

LoCoH: Nonparameteric Kernel Methods for Constructing Home Ranges and Utilization Distributions

Wayne M. Getz, Scott Fortmann-Roe, [ ... ], Christopher C. Wilmers

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