Abstract: We introduce a new class of “maximization-expectation” (ME) algorithms where we maximize over hidden variables but marginalize over random parameters. This reverses the roles of expectation ...

Abstract: This paper gives an example of a novel simple implementation of the EM algorithm for clustering images. Here we use a simple gray scale color feature to describe an image. When compared to ...

In this example, we use the IceCat-1 catalog with IceCube neutrino alert events and look for temporal clustering at predefined positions. The positions are identified with the multiplet search (see ...

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