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The training time of most learning algorithms increases as the size of training data increases. Yet, recent advances in linear binary SVM and LR challenge this commonsense by proposing an inverse depe...
In this paper we derive control charts for the variance of a Gaussian process using the likelihood ratio approach, the generalized likelihood ratio approach, the sequential probability ratio method an...
This article discusses a partially adapted particle filter for estimating the likelihood of a nonlinear structural econometric state space models whose state transition density cannot be expressed in ...
In this paper, we generalize Ostrowski's inequality and Montgomery's identity on arbitrary time scales which were given in a recent paper [J. Inequal. Pure. Appl. Math. , 9 (1) (2008), Art. 6] by Boh...

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