Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach
99,42 €
In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai and Gang Niu present theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data.
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