Abstract: An information processing apparatus has an objective variable acquirer configured to acquire a multi-dimensional objective variable, an objective variable dimension compressor configured to compress the number of dimensions of the objective variable, an explanatory variable acquirer configured to acquire an explanatory variable, and an influence degree calculator configured to set at least one of a basis characterizing the objective variable and a coefficient weighting the basis as a new objective variable and calculate an influence degree on the new objective variable by using the explanatory variable.

Abstract: A communication system configured to broadcast a voice of utterance of one of users to other users through mobile communication terminals carried by the respective users and to control text delivery such that the result of utterance voice recognition processing on the received utterance voice data is displayed on the mobile communication terminals in synchronization. The communication system is configured to store user-specific language setting information and to produce a translated text through translation of the result of utterance voice recognition into a different language. The broadcast of the utterance voice data includes broadcasting the received utterance voice data to each of the other mobile communication terminals without translation. The text delivery includes delivering the translated text in at least one specified language based on the user-specific language setting information to each of the mobile communication terminals.

Abstract: A communication system includes a management apparatus and an agent apparatus. The management apparatus broadcasts the voice of an utterance of one of users of mobile communication terminals to the mobile communication terminals of the other users and to chronologically accumulate the result of utterance voice recognition of the utterance voice as a user-to-user communication history to control text delivery such that the communication history is displayed on the mobile communication terminals in synchronization. The agent apparatus produces an agent utterance text based on detection information output from a state detection device provided for a monitoring target and transmitting the agent utterance text to the management apparatus.

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.

Abstract: An information processing apparatus has a constraint threshold value setting change unit configured to change a setting of a first constraint threshold value serving as a criterion when determining whether a constraint variable satisfies a constraint condition, and a search unit configured to search for the new constraint variable that satisfies the constraint condition based on the first constraint threshold value, wherein the constraint threshold value setting change unit is configured to update the first constraint threshold value based on the new constraint variable.

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.

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.

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.

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.