-
公开(公告)号：US20190317997A1
公开(公告)日：2019-10-17
申请号：US16455902
申请日：2019-06-28
发明人： Hiroaki Komine , Kaori Maruyama , Takumi Yanagawa
IPC分类号： G06F17/27 , G06N20/00 , G06N5/04 , G06F16/9032
摘要： Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.
-
公开(公告)号：US10387572B2
公开(公告)日：2019-08-20
申请号：US15705596
申请日：2017-09-15
发明人： Hiroaki Komine , Kaori Maruyama , Takumi Yanagawa
摘要： Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.
-
公开(公告)号：US20190087411A1
公开(公告)日：2019-03-21
申请号：US15845031
申请日：2017-12-18
发明人： Hiroaki Komine , Kaori Maruyama , Takumi Yanagawa
CPC分类号： G06F17/2785 , G06F16/90332 , G06F17/2715 , G06F17/2755 , G06N5/048 , G06N20/00
摘要： Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.
-
公开(公告)号：US20190317998A1
公开(公告)日：2019-10-17
申请号：US16455959
申请日：2019-06-28
发明人： Hiroaki Komine , Kaori Maruyama , Takumi Yanagawa
IPC分类号： G06F17/27 , G06N20/00 , G06N5/04 , G06F16/9032
摘要： Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.
-
公开(公告)号：US09613019B2
公开(公告)日：2017-04-04
申请号：US14478421
申请日：2014-09-05
发明人： Eisuke Kanzaki , Kaori Maruyama , Tetsuo Namba , Hideo Takeda
IPC分类号： G06F11/263 , G06F17/27
CPC分类号： G06F17/27
摘要： Techniques for automatically generating test data solve various problems in test data generation. A technique of automatically generating test data includes receiving a signature to be embedded in at least one character string to be generated and determining a total sum of attribute values intrinsic to characters in the character string. The sum is associated with each element of the signature. At least one of the characters in the character string may be selected from a character table describing characters prepared to create the test data so as to achieve the determined total sum for each element of the signature. The generated test data contains the character string including the selected character.
-
公开(公告)号：US10372826B2
公开(公告)日：2019-08-06
申请号：US15845031
申请日：2017-12-18
发明人： Hiroaki Komine , Kaori Maruyama , Takumi Yanagawa
摘要： Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.
-
公开(公告)号：US20190087408A1
公开(公告)日：2019-03-21
申请号：US15705596
申请日：2017-09-15
发明人： Hiroaki Komine , Kaori Maruyama , Takumi Yanagawa
CPC分类号： G06F17/2785 , G06F16/90332 , G06F17/2715 , G06F17/2755 , G06N5/048 , G06N20/00
摘要： Training data including a first and second group of questions each associated with an answer is read into memory by a computer. A class of answers including the answer to a question for each question is determined, where each class of answers has a class label that is associated with each of the questions, and each of the questions are classified into a respective class of answers, accordingly. First and second training data is generated including the first and second groups of questions and corresponding classes of answers for use in first and second classifiers, respectively. Each question of the first and second group of questions is classified by the second and first classifiers, respectively, where the classifying generates corresponding classification results. The first or second training data is updated based on the classification results to generate corresponding updated first or second training data, respectively.
-
公开(公告)号：US20150073778A1
公开(公告)日：2015-03-12
申请号：US14478421
申请日：2014-09-05
发明人： Eisuke Kanzaki , Kaori Maruyama , Tetsuo Namba , Hideo Takeda
IPC分类号： G06F17/27
CPC分类号： G06F17/27
摘要： Techniques for automatically generating test data solve various problems in test data generation. A technique of automatically generating test data includes receiving a signature to be embedded in at least one character string to be generated and determining a total sum of attribute values intrinsic to characters in the character string. The sum is associated with each element of the signature. At least one of the characters in the character string may be selected from a character table describing characters prepared to create the test data so as to achieve the determined total sum for each element of the signature. The generated test data contains the character string including the selected character.
摘要翻译： 自动生成测试数据的技术解决了测试数据生成中的各种问题。 自动生成测试数据的技术包括接收要嵌入在要生成的至少一个字符串中的签名，并确定字符串中的字符固有的属性值的总和。 总和与签名的每个元素相关联。 可以从描述准备用于创建测试数据的字符的字符表中选择字符串中的至少一个字符，以便为签名的每个元素实现确定的总和。 生成的测试数据包含包含所选字符的字符串。
-
-
-
-
-
-
-
搜索结果
8 条记录 (耗时 0.019 秒)
