专利名称：SYSTEMS AND METHODS FOR PREDICTING
OUTCOMES USING A PREDICTIONLEARNING MODEL
发明人：Gunnar Carlsson申请号：US15068507申请日：20160311
公开号：US20160267397A1公开日：20160915
专利附图：
摘要：A method comprises receiving a network of a plurality of nodes and a pluralityof edges, each of the nodes comprising members representative of at least one subset
of training data points, each of the edges connecting nodes that share at least one datapoint, grouping the data points into a plurality of groups, each data point being amember of at least one group, creating a first transformation data set, the firsttransformation data set including the training data set as well as a plurality of featuresubsets associated with at least one group, values of a particular data point for aparticular feature subset for a particular group being based on values of the particulardata point if the particular data point is a member of the particular group, and applying amachine learning model to the first transformation data set to generate a predictionmodel.
申请人：Ayasdi, Inc.
地址：Menlo Park CA US
国籍：US
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