Microsoft Technology Licensing, LLC

Sandeep P Solanki

Li Deng

Jianfeng Gao

Xiaodong He

LuMing Wang

Jianshu Chen

Zijian Zheng

Prabhdeep Singh

Mingyang Zhao

Bochen Jin

Hanjun Xian

Yilei Zhang

Brendan W L Clement

A processing unit can acquire datasets from respective data sources, each having a respective unique data domain. The processing unit can determine values of a plurality of features based on the plurality of datasets. The processing unit can modify input-specific parameters or history parameters of a computational model based on the values of the features. In some examples, the processing unit can determine an estimated value of a target feature based at least in part on the modified computational model and values of one or more reference features. In some examples, the computational model can include neural networks for several input sets. An output layer of at least one of the neural networks can be connected to the respective hidden layer(s) of one or more other(s) of the neural networks. In some examples, the neural networks can be operated to provide transformed feature value(s) for respective times.

Training and operation of computational models

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Redmond, WA, United States of America

Sandeep P Solanki