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                <identifier>oai:data.mendeley.com/3gms2fvs93.3</identifier>
                <datestamp>2026-07-03T15:01:30Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0002-6306-1180">Emami, Seyedsaman</dc:creator>
    <dc:title>Synthetic Clustered Multi-Task Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Data are generated with a mixing parameter $\omega = 0.9$. Input features $\mathbf{x}$ are sampled uniformly from the hypercube $[-1,1]^{d_x}$, where $d_x = 5$ denotes the input dimensionality.</dc:description>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Clustering</dc:subject>
    <dc:subject>Linear Regression</dc:subject>
    <dc:subject>Binary Classification</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0001-5845-437X">Hernández Lobato, Daniel </dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-6125-6056">Martínez Muñoz, Gonzalo </dc:contributor>
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    <dc:identifier>oai:data.mendeley.com/3gms2fvs93.3</dc:identifier>
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