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1.发明公开
公开(公告)号：EP4310732A3
公开(公告)日：2024-04-03
申请号：EP23206103.6
申请日：2019-10-18
发明人： BELFIORE, Jean-Claude , PASCHOS, Georgios , TSILIMANTOS, Dimitrios , DESTOUNIS, Apostolos , VASSILARAS, Spyridon , COSTANTINI, Marina , LIAKOPOULOS, Nikolaos , NGUYEN, Van, Minh , DEBBAH, Merouane
摘要： A data processing system having a neural network architecture for receiving a binary network input and, in dependence on the binary network input, propagating signals via a plurality of processing nodes, in accordance with respective binary weights, to form a network output, the data processing system being configured to train a node by implementing an error correcting function to identify a set of binary weights which minimize, for a given input to the node, any error between an output of the node when formed in accordance with current binary weights of the node and a preferred output from the node and to update the binary weights of the node to be the identified weights. This training is performed without storing and/or using any higher arithmetic precision weights or other components.
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公开(公告)号：EP4309079A1
公开(公告)日：2024-01-24
申请号：EP21716362.5
申请日：2021-03-31
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3.发明公开
公开(公告)号：EP4310732A2
公开(公告)日：2024-01-24
申请号：EP23206103.6
申请日：2019-10-18
发明人： BELFIORE, Jean-Claude , PASCHOS, Georgios , TSILIMANTOS, Dimitrios , DESTOUNIS, Apostolos , VASSILARAS, Spyridon , COSTANTINI, Marina , LIAKOPOULOS, Nikolaos , NGUYEN, Van, Minh , DEBBAH, Merouane
IPC分类号： G06N3/063
摘要： A data processing system having a neural network architecture for receiving a binary network input and, in dependence on the binary network input, propagating signals via a plurality of processing nodes, in accordance with respective binary weights, to form a network output, the data processing system being configured to train a node by implementing an error correcting function to identify a set of binary weights which minimize, for a given input to the node, any error between an output of the node when formed in accordance with current binary weights of the node and a preferred output from the node and to update the binary weights of the node to be the identified weights. This training is performed without storing and/or using any higher arithmetic precision weights or other components.
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公开(公告)号：EP4205038A1
公开(公告)日：2023-07-05
申请号：EP20796531.0
申请日：2020-10-20
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公开(公告)号：EP3529901B1
公开(公告)日：2020-10-07
申请号：EP16822467.3
申请日：2016-12-23
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公开(公告)号：EP4154186A1
公开(公告)日：2023-03-29
申请号：EP20806990.6
申请日：2020-11-12
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公开(公告)号：EP3529901A1
公开(公告)日：2019-08-28
申请号：EP16822467.3
申请日：2016-12-23
IPC分类号： H03M13/13
摘要： A method for generating a polar code cN of length N and dimension K, on the basis of a generator matrix GN of size N×N, is provided. The method includes generating a distance spectrum vector dTp=(dTp(1), . . . , dTp(p)) of size p of the kernel Tp, wherein dTp(h),h=1, . . . , p, corresponds to a maximum value among all possible minimum distances of all possible polar codes of size p and dimension h generated on the basis of the kernel Tp. The method also includes generating a distance spectrum vector dGN of size N of the generator matrix GN on the basis of the distance spectrum vector dTp, determining the set of K information bit indices I on the basis of the distance spectrum vector dGN, and generating the polar code cN on the basis of the set of K information bit indices I.
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公开(公告)号：EP3443677A1
公开(公告)日：2019-02-20
申请号：EP16757845.9
申请日：2016-08-18
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公开(公告)号：EP4388460A1
公开(公告)日：2024-06-26
申请号：EP21765934.1
申请日：2021-08-25
CPC分类号： G06N3/063 , G06N3/0495
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