In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
One-way packet delay is an important network performance metric. Recently, a new data structure called Lossy Difference Aggregator (LDA) has been proposed to estimate this metric m...
Parallel computation of the adaptive lattice filtering algorithm is difficult due to the dependency problem caused by feedback operations. The conventional control-level paralle...
An -appro ximate quantile summary of a sequence of N elements is a data structure that can answer quantile queries about the sequence to within a precision of N. We presen t a new...