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Kernel functions

Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference

Bram Thijssen, Lodewyk F. A. Wessels

A landslide susceptibility map based on spatial scale segmentation: A case study at Zigui-Badong in the Three Gorges Reservoir Area, China

Xianyu Yu, Huachen Gao

Kernel-based Gaussian process for anomaly detection in sparse gamma-ray data

Gregory R. Romanchek, Zheng Liu, Shiva Abbaszadeh

Modeling aggressive market order placements with Hawkes factor models

Hai-Chuan Xu, Wei-Xing Zhou

A Bayesian Monte Carlo approach for predicting the spread of infectious diseases

Olivera Stojanović, Johannes Leugering, [ ... ], Alexander Ullrich

Machine learning algorithm validation with a limited sample size

Andrius Vabalas, Emma Gowen, Ellen Poliakoff, Alexander J. Casson

Optimally adjusted last cluster for prediction based on balancing the bias and variance by bootstrapping

Jeongwoo Kim

Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

Xiaodong Luo

Heave compensation prediction based on echo state network with correntropy induced loss function

Xiaogang Huang, Dongge Lei, [ ... ], Zhibin Wang

Functional form estimation using oblique projection matrices for LS-SVM regression models

Alexander Caicedo, Carolina Varon, Sabine Van Huffel, Johan A. K. Suykens

Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data

Md. Ashad Alam, Mohammd Shahjaman, [ ... ], Hong-Wen Deng

Regional level influenza study based on Twitter and machine learning method

Hongxin Xue, Yanping Bai, Hongping Hu, Haijian Liang

A fast two-stage active contour model for intensity inhomogeneous image segmentation

Yangyang Song, Guohua Peng

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