认清自我专利名称：GENERALIZED EXPECTATION
MAXIMIZATION
教师职业规划发明人：Felix Schmidt,Yasha Pushak,Stuart Wray
十月文案>开心魔法申请号：US16935313
申请日：20200722赞美家乡美景的句子
公开号：US20220027777A1
公开日：
20220127小明的一天
专利内容由知识产权出版社提供
班主任工作职责
专利附图：
摘要：Techniques are described that extend supervid machine-learning algorithms for u with mi-supervid training. Random labels are assigned to unlabeled training data, and the data is split into k partitions. During a label-training iteration, each of the
k partitions is combined with the labeled training data, and the combination is ud train a single instance of the machine-learning model. Each of the trained models are then ud to predict labels for data points in the k−1 partitions of previously-unlabeled training data that were not ud to train of the model. Thus, every data point in the previously-unlabeled training data obtains k−1 predicted labels. For each data point, the labels are aggregated to obtain a composite label prediction for the data point. After the labels are determined via one or more label-training iterations, a machine-learning model is trained on data with the resulting composite label predictions and on the labeled data t.
申请人：Oracle International Corporation
地址：Redwood Shores CA US
静静地顿河国籍：US
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