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Kernel functions

A novel adaptive-weight ensemble surrogate model base on distance and mixture error

Jun Lu, Yudong Fang, Weijian Han

Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease scores

Dalia Chakrabarty, Kangrui Wang, [ ... ], Joydeep Chakrabartty

Prediction and optimization of employee turnover intentions in enterprises based on unbalanced data

Zhaotian Li, Edward Fox

Research on oil boom performance based on Smoothed Particle Hydrodynamics method

Jiaqi Liu, Peigang Jiao, Yuntao Xu

A statistical theory of optimal decision-making in sports betting

Jacek P. Dmochowski

Research on improved level set image segmentation method

Mei Zhang, Dan Meng, Lingling Liu, Jinghua Wen

A method for detecting outliers in linear-circular non-parametric regression

Sümeyra Sert, Filiz Kardiyen

Ataxic speech disorders and Parkinson’s disease diagnostics via stochastic embedding of empirical mode decomposition

Marta Campi, Gareth W. Peters, Dorota Toczydlowska

Stock market prediction using Altruistic Dragonfly Algorithm

Bitanu Chatterjee, Sayan Acharya, [ ... ], Ram Sarkar

Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery

Hideaki Kawaguchi

Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

Ezequiel de la Rosa, Diana M. Sima, [ ... ], David Robben

Sparse representation learning derives biological features with explicit gene weights from the Allen Mouse Brain Atlas

Mohammad Abbasi, Connor R. Sanderford, [ ... ], Benjamin B. Bartelle

Using a latent Hawkes process for epidemiological modelling

Stamatina Lamprinakou, Axel Gandy, Emma McCoy

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