Bregman distances (also known as Bregman divergences) are widely used in machine
learning, speech recognition and signal processing, and k NN searches with Bregman …

As the key component to transmit power and torque, the fault diagnosis of rotating machinery
is crucial to guarantee the reliable operation of mechanical equipment. Regrettably, sample …

Similarity learning is a general problem to elicit useful representations by predicting the
relationship between a pair of patterns. This problem is related to various important …

One statistical analysis is regression analysis. One regression that has the assumption of
poisson distribution is poisson regression which has the assumption of poisson distribution …

Dependence of variance on covariate design in nonparametric link regression -
ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search …

Owing to the massive numbers of data collected through the emergence of the Internet and
the rapid developments in computing hardware, machine learning has become one of the …