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_aSugiyama, Masashi _eauthor _977619 |
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| 245 |
_aMachine Learning from Weak Supervision : _bAn Empirical Risk Minimization Approach |
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| 260 |
_aCambridge, Massachusetts : _bThe MIT Press, _c[2022] |
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| 300 |
_axv, 295 pages : _b illustrations (some color) ; _c24 cm. |
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| 650 |
_aAn overview of machine learning from data that is easily collectible, but challenging to annotate for learning algorithms _977620 |
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| 887 |
_28 _aPapia Akter |
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_2lcc _cBK _n0 |
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| 888 | _28 | ||