Mixture models : inference and applications to clustering
Geoffrey J. McLachlan
CiteWeb id: 19880000151
CiteWeb score: 3107
The publication "Mixture models : inference and applications to clustering" is placed in the Top 10000 of the best publications in CiteWeb.
Also in the category Mathematics it is included to the Top 1000. Additionally, the publicaiton "Mixture models : inference and applications to clustering" is placed in the Top 1000 among other scientific works published in 1988.
THE MAMMALIAN UNFOLDED PROTEIN RESPONSE. ▪ Abstract In the endoplasmic reticulum (ER), secretory and transmembrane proteins fold into their native conformation and undergo posttranslational modifications important for their activity and structure. When protein folding in the ER is inhibited,...
Universal approximation using radial-basis-function networks. There have been several recent studies concerning feedforward networks and the problem of approximating arbitrary functionals of a finite number of real variables. Some of these studies deal with cases in which the hidden-layer nonlinearity is not a sigmoid....
Essays in positive economics. "Stimulating, provocative, often infuriating, but well worth reading."—Peter Newman, Economica "His critical blast blows like a north wind against the more pretentious erections of modern economics. It is however a healthy and invigorating blast, without...