- 专利标题: SYSTEM AND METHODS FOR ARTIFICIAL INTELLIGENCE EXPLAINABILITY VIA SYMBOLIC GENERATIVE MODELING
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申请号: US16748275申请日: 2020-01-21
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公开(公告)号: US20210227223A1公开(公告)日: 2021-07-22
- 发明人: Alberto SANTAMARIA-PANG , Peter Henry TU , James KUBRICHT , Aritra CHOWDHURY , Arpit JAIN , Chinmaya DEVARAJ
- 申请人: GENERAL ELECTRIC COMPANY
- 申请人地址: US NY Schenenctady
- 专利权人: GENERAL ELECTRIC COMPANY
- 当前专利权人: GENERAL ELECTRIC COMPANY
- 当前专利权人地址: US NY Schenenctady
- 主分类号: H04N19/136
- IPC分类号: H04N19/136 ; G06N3/04 ; G06N3/08 ; H04N19/172
摘要:
A system and method including receiving input data by an encoder, the encoder reducing a dimensionality of the received data; receiving, by a sender module, the reduced dimensionality data; generating, by the sender module, a sentence comprising a plurality of symbols representative of the input data, the symbols being defined by a predetermined vocabulary and a predetermined sentence length; receiving, by a receiver module, the sentence comprising the plurality of symbols; generating, based on the received sentence, continuous data by the receiver module; receiving, by a decoder, the continuous data from the receiver module; generating an output, by the decoder based on the continuous data, the output including a recreation of the input data.
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