MV-warpedMF-SI is a multi-view matrix factorisation model that jointly learns a warping function for each data view and efficiently incorporates the side information of the relatedness between rows (e.g. gene similarity) and columns (e.g. disease similarity) during decomposing the data matrices.
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MV-warpedMF-SI is a multi-view matrix factorisation model that jointly learns a warping function for each data view and efficiently incorporates the side information of the relatedness between rows (e.g. gene similarity) and columns (e.g. disease similarity) during decomposing the data matrices.
ProML/MV-warpedMF-SI
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MV-warpedMF-SI is a multi-view matrix factorisation model that jointly learns a warping function for each data view and efficiently incorporates the side information of the relatedness between rows (e.g. gene similarity) and columns (e.g. disease similarity) during decomposing the data matrices.
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