Search Results for author: Christopher C. Holmes

Found 2 papers, 1 papers with code

Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels

1 code implementation24 Jan 2019 Matthew Willetts, Stephen J. Roberts, Christopher C. Holmes

It could easily be the case that some classes of data are found only in the unlabelled dataset -- perhaps the labelling process was biased -- so we do not have any labelled examples to train on for some classes.

Clustering

Statistical Inference in Hidden Markov Models using $k$-segment Constraints

no code implementations5 Nov 2013 Michalis K. Titsias, Christopher Yau, Christopher C. Holmes

Hidden Markov models (HMMs) are one of the most widely used statistical methods for analyzing sequence data.

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