Turn data into information and knowledge,so as to support sound decision making.Key Techniques:Cloud Computing,Managing Data,Crowdsourcing,Collecting Data,Machine Learning,Analyzing Data.Input Space,represented by a single instance (feature vector) characterizing its properties;Output Space,associated with a single label characterizing its semantics.In practice，we usually have to learn with weak supermsion.Semi-Supervised Learning (SSL),Multi-Label Learning(MLL).Learning with Weak Supervision: Framework+Model+Utilization.
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