Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A search apparatus includes a memory and a processor configured to receive question information, perform evaluation of the question information, and when a result of the evaluation satisfies a condition, output answer information extracted by searching based on the question information, the answer information being extracted from among a plurality of pieces of answer information stored in the memory, and, when the result of the evaluation does not satisfy the condition, output information for prompting input of additional information to specify detail of the question information.

Abstract: 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.

Abstract: An apparatus stores teacher data including first question-information and first answer-information associated therewitg, and supplementary information each piece of which is associated With one or more keywords that are used within the teacher data in connection therewith. The apparatus extracts first keywords tom the teacher data, and adjust parameter-values which are used for calculating a predicted-reliability of each piece of the first answer-information and each associated with one of pieces of the supplementary information, based on the supplementary information associated with the first keywords, and right/wrong in:formation indicating whether the first answer-information is a right answer.

Abstract: First question information includes questions about a predetermined subject, and each piece of first answer information, associated with a piece of the first question information, indicates an answer that is responsive to the question indicated by the piece of the first question information. The apparatus updates conversion parameters including correlation values each indicating a degree of a correlation between keywords included in the first question information and the first answer information, by adjusting the correlation values so that the keywords enable a predetermined degree of predicted reliability to search for the first answer information.

Abstract: In a strap-band type connecting device (1), provided is a housing (4) work-hardened and has a bottomed frame (4c) having a frame portion (4b) and a bottom base (4a) in one piece. The housing (4) has a strength and rigidity higher enough to resist a torsional force (K) when a rod screw (9) is rotationally operated. Even when the rod screw (9) is rotationally operated accidentally with a magnitude more than an allowable amount of torque, it is possible for the housing (4) to resist the torsional force (K) with a sufficient strength insured, so as to keep the strap band (3) winding around the connection hose (2) in a favorable condition for an extended period of time.

Abstract: In a strap-band type connecting device (1), a strap band (3) has an array of teeth (8), each of which forms a bridged brace (10) between the neighboring slits (8a) to make a helical thread (9a) engage with the bridged brace (10) when a rod screw (9) is brought at the helical thread (9a) into engagement with the slits (8a) within a housing (4). The bridged brace (10) is curvedly deformed to provide a width-reduced groove (10a) in its lengthwise direction (P) so as to form a cross piece segment (11, 13), a geometrical moment of inertia of which increases along a circumferential direction (R) of the strap band (3) with a sufficient rigidity provided to resist against a bending force from the helical thread (9a) upon rotationally operating the rod screw (9).

Abstract: In a strap-band type connecting device (1), a strap band (3) has an array of teeth (8), each of which forms a bridged brace (10) between the neighboring slits (8a) to make a helical thread (9a) engage with the bridged brace (10) when a rod screw (9) is brought at the helical thread (9a) into engagement with the slits (8a) within a housing (4). The bridged brace (10) is curvedly deformed to provide a width-reduced groove (10a) in its lengthwise direction (P) so as to form a cross piece segment (11, 13), a geometrical moment of inertia of which increases along a circumferential direction (R) of the strap band (3) with a sufficient rigidity provided to resist against a bending force from the helical thread (9a) upon rotationally operating the rod screw (9).

Abstract: In a strap-band type connecting device (1), provided is a housing (4) work-hardened and has a bottomed frame (4c) having a frame portion (4b) and a bottom base (4a) in one piece. The housing (4) has a strength and rigidity higher enough to resist a torsional force (K) when a rod screw (9) is rotationally operated. Even when the rod screw (9) is rotationally operated accidentally with a magnitude more than an allowable amount of torque, it is possible for the housing (4) to resist the torsional force (K) with a sufficient strength insured, so as to keep the strap band (3) winding around the connection hose (2) in a favorable condition for an extended period of time.

Abstract: 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 device 1 comprises a message collection unit 2 for collecting messages, a learning unit 3 for extracting patterns from the collected messages, a normal pattern memory unit 4 for storing normal patterns, a collation unit 5 for collating the collected messages with normal patterns and detecting message abnormalities, a warning unit 6 for outputting abnormalities to display 9 and the like, and a definition unit 7 for storing the definition data related to normal patterns.

Abstract: 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 device 1 comprises a message collection unit 2 for collecting messages, a learning unit 3 for extracting patterns from the collected messages, a normal pattern memory unit 4 for storing normal patterns, a collation unit 5 for collating the collected messages with normal patterns and detecting message abnormalities, a warning unit 6 for outputting abnormalities to display 9 and the like, and a definition unit 7 for storing the definition data related to normal patterns.

Abstract: The present invention relates to a manufacturing method of a probe head for an inspection apparatus of a semiconductor device represented by an LSI, and more particularly to a manufacturing method suitable for forming probes with high accuracy in forming into multipins at high density, and is characterized in that a structure is obtained, in which a probe forming conductive lower layer is formed on a formed conductive attaching layer for improving attaching strength after forming electrode pads on a wiring substrate, a mask pattern for forming a probe tip forming conductive upper layer is formed at a position corresponding to the probe position is removed by etching in a cylindrical form until the probe forming conductive lower layer is exposed, a probe tip forming conductive upper layer is grown at the position where etching removal has been performed, a mask pattern is removed, a mask pattern which covers a probe tip forming conductive upper layer is formed thereafter at a position corresponding to the prob