公开(公告)号：US20240103470A1

公开(公告)日：2024-03-28

申请号：US18456209

申请日：2023-08-25

Applicant: Kioxia Corporation

Inventor： Yuma YOSHINAGA ,  Atsushi MAESONO ,  Osamu TORII ,  Shinichiro TOMIOKA ,  Shinichiro MANABE

IPC: G05B19/042

CPC classification number: G05B19/042

Abstract: An information processing apparatus that updates a regression coefficient parameter based on a predetermined objective function including a regularization term for each of a plurality of elements characterized by a task and a feature value, the information processing apparatus comprising processing circuitry. The processing circuitry selects an element which is an update target of the regression coefficient parameter from the plurality of elements, fixes a value of the regularization term of an unselected element, selects a calculation expression for updating a regression coefficient parameter of the selected element based on a regression coefficient parameter of the unselected element, and updates the regression coefficient parameter of the selected element based on the selected calculation expression.

公开(公告)号：US20210295153A1

公开(公告)日：2021-09-23

申请号：US17184026

申请日：2021-02-24

Applicant: KIOXIA CORPORATION

Inventor： Ryota YOSHIZAWA ,  Kenichiro FURUTA ,  Yuma YOSHINAGA ,  Osamu TORII ,  Tomoya KODAMA

IPC: G06N3/08 ,  G06N3/04 ,  H03M13/45

Abstract: A learning device includes an encoding unit, a plurality of permutation units, a plurality of decoding units, a selection unit, and a learning unit. The encoding unit is configured generate an encoded word by encoding a transmission word. The permutation units are configured to permutate the encoded word according to different permutation manners to generate a plurality of permutated encoded words. The decoding units are configured to perform message passing decoding on the plurality of permutated encoded words, to generate a plurality of decoded words. The message passing decoding involves weighting of values of a word transmitted during the message passing decoding. The selection unit is configured to select one or more of the decoded words. The learning unit is configured to perform learning of weighting values of the weighting based on the transmission word and the selected one or more of the decoded words.

公开(公告)号：US20210279133A1

公开(公告)日：2021-09-09

申请号：US17184166

申请日：2021-02-24

Applicant: Kioxia Corporation

Inventor： Yuma YOSHINAGA ,  Tomoya KODAMA ,  Osamu TORII ,  Kenichiro FURUTA ,  Ryota YOSHIZAWA

IPC: G06F11/10 ,  H03M13/45 ,  G06N3/04 ,  G06N3/08

Abstract: A memory system includes a non-volatile memory and a memory controller. The memory controller is configured to read a received word from the non-volatile memory, estimate noise by using a plurality of different models for estimating the noise included in the received word to obtain a plurality of noise estimation values, select one noise estimation value from the plurality of noise estimation values, update the received word by using a value obtained by subtracting the selected noise estimation value from the read received word, and decode the updated received word by using a belief-propagation method.

公开(公告)号：US20210242888A1

公开(公告)日：2021-08-05

申请号：US17005270

申请日：2020-08-27

Applicant: KIOXIA CORPORATION

Inventor： Ryota YOSHIZAWA ,  Kenichiro FURUTA ,  Yuma YOSHINAGA ,  Osamu TORII ,  Tomoya KODAMA

IPC: H03M13/29 ,  H03M13/45 ,  G06N3/08

Abstract: According to one embodiment, a learning device includes a noise generation unit, a decoding unit, a generation unit, and a learning unit. The noise generation unit outputs a second code word which corresponds to a first code word to which noise has been added. The decoding unit decodes the second code word and outputs a third code word. The generation unit generates learning data for learning a weight in message passing decoding in which the weight and a message to be transmitted are multiplied, based on whether or not decoding of the second code word into the third code word has been successful. The learning unit determines a value for the weight in the message passing decoding by using the learning data.