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SYSTEMS AND METHODS OF DISCOVERING MIXTURES OF MODELS WITHIN DATA AND PROBABILISTIC CLASSIFICATION OF DATA ACCORDING TO THE MODEL MIXTURE
SYSTEMS AND METHODS OF DISCOVERING MIXTURES OF MODELS WITHIN DATA AND PROBABILISTIC CLASSIFICATION OF DATA ACCORDING TO THE MODEL MIXTURE
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机译:在数据内发现模型混合以及根据模型混合对数据进行概率分类的系统和方法
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摘要
Discovering mixtures of models includes: initiating learning algorithms, determining, data sets including a cluster of points in a first region of a domain and a set of points distributed near a first line extending across the domain; inferencing parameters from the cluster and the set of points; creating a description of the cluster of points in the first region of the domain and computing approximations of a first learned mixture model and a second learned mixture model; determining a first and second probability, generating a confidence rating that each point of the cluster of points in the first region of the domain corresponds to the first learned mixture model and generating a confidence rating that each point of the set of points distributed near the first line correspond to the second learned mixture model, thus causing determinations of behavior of a system described by the learned mixture models.
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