Data inference apparatus, data inference method and non-transitory computer readable medium
AssigneePreferred Networks, Inc.
InventorsShinichi Maeda, Masanori Koyama
Life of this patent
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Abstract
A data prediction apparatus includes a memory and processing circuitry coupled to the memory configured to (1) receive the target data on which to make inference, (2) extract a neighborhood data group that is a set of data points in supervised data that are similar to the target data, (3) generate a local model by performing local and regularization learning using the neighborhood data group, and (4) make inference on the target data by using the local model.
Claims15
A data inference apparatus comprising:
- a memory;
- and
- processing circuitry coupled to the memory and configured to:
- receive target data on which to make inference,
- extract a neighborhood data group that is a set of data points in supervised data that are similar to the target data,
- generate a local model by performing local and regularization learning using the neighborhood data group, and
- make inference on the target data by using the local model.
A data inference method comprising:
- receiving, by processing circuitry, target data on which to make inference;
- extracting, by the processing circuitry, a neighborhood data group that is a set of data points in the supervised data that are similar to the target data;
- generating, by the processing circuitry, a local model by performing local and regularization learning using the neighborhood data group;
- making, by the processing circuitry, inference on the target data by using the local model.
A non-transitory computer readable medium storing a computer readable program causing a computer to function as:
- a section that receives target data on which to make inference;
- a device that extracts a neighborhood data group that is a set of data points in the supervised data that are similar to the target data;
- a section that generates a local model by performing local and regularization learning using the neighborhood data group;
- a section that makes inference on the target data by using the local model.
Dependencies are inferred from the claim text.