Fujitsu Corporation

Ryuichi Takagi

Takuya Yoshida

Kayoko Iwamoto

Takamichi Toda

Naoki Takahashi

Masashi Kimura

Takuya Nakajima

Teruya Kobayashi

A non-transitory computer-readable storage medium storing therein a learning program that causes a computer to execute a process includes: determining whether or not there is a discontinuity point at which a variation in a learning time relative to a variation in a learning parameter is discontinuous; specifying, when the discontinuity point is present, ranges of the learning parameter in which the variation in the learning time relative to the variation in the learning parameter is continuous, based on the discontinuity point; calculating, for each of the specified ranges, an estimated value of performance of trials using a trial parameter learned by machine learning per a learning time of machine learning using a learning parameter included in the range; and specifying a learning parameter which enables any of the estimated values selected in accordance with a magnitude of the estimated value among the calculated estimated values.

Learning program, learning apparatus, and learning method

A non-transitory computer-readable recording medium stores therein a generating program that causes a computer to execute a process including: receiving a word; generating a first and a second vectors according to the received word by applying a first and a second conversion parameters each to the received word; and generating a new third vector according to the word based on the generated first and second vectors.

Generating method, generating device, and recording medium

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process including receiving a search query, obtaining a first document containing a word included in the received search query from a storage device that stores a plurality of documents, extracting a plurality of words included in the first document, selecting one or more words from the plurality of extracted words, the one or more words having lower similarity to the word included in the received search query being specified in the specifying, obtaining a second document containing the selected one or more words, and outputting information corresponding to the second document.

Non-transitory compuyer-read able storage medium, information output method, and information processing apparatus

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process including receiving a first text written in a first language, generating a second text written in a second language, the second text being generated by translating the first text into the second language, generating a third text written in the first language, the third text being generated by translating the second text into the first language, specifying one or more first words included in the third text, extracting one or more documents including the one or more first words from a plurality of documents stored in a storage device, and outputting information regarding the one or more extracted documents.

Non-transitory computer-readable storage medium, information outputting method, and information processing apparatus

A non-transitory computer-readable recording medium having stored therein a learning program for causing a computer to execute a process includes: receiving a first sentence expressed in a first language and a second sentence obtained by translating the first sentence; and training a conversion parameters configured to convert each word of a received first sentence into a corresponding word of a received second sentence by utilizing machine learning.

Computer-readable recording medium recording learning program, learning method, and learning apparatus

In order to provide a message abnormality automatic detection device, method and program for accurately detecting messages indicating abnormalities requiring response from a large amount of messages, the message abnormality automatic detection devicecomprises a message collection unitfor collecting messages, a learning unitfor extracting patterns from the collected messages, a normal pattern memory unitfor storing normal patterns, a collation unitfor collating the collected messages with normal patterns and detecting message abnormalities, a warning unitfor outputting abnormalities to displayand the like, and a definition unitfor storing the definition data related to normal patterns.

Growing community of inventors

Nakano, Japan

Ryuichi Takagi