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公开(公告)号：US20120310870A1
公开(公告)日：2012-12-06
申请号：US13149701
申请日：2011-05-31
Applicant: Americo Caves , Kent Spaulding , Reza B'Far
Inventor： Americo Caves , Kent Spaulding , Reza B'Far
CPC classification number: G06F11/3688 , G06F11/2247
Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.
Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件，以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型，这些模型可用于确定最佳配置。
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公开(公告)号：US08898096B2
公开(公告)日：2014-11-25
申请号：US13149701
申请日：2011-05-31
Applicant: Americo Caves , Kent Spaulding , Reza B'Far
Inventor： Americo Caves , Kent Spaulding , Reza B'Far
CPC classification number: G06F11/3688 , G06F11/2247
Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.
Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件，以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型，这些模型可用于确定最佳配置。
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公开(公告)号：US20120310618A1
公开(公告)日：2012-12-06
申请号：US13149663
申请日：2011-05-31
Applicant: Reza B'Far , Kent Spaulding , Americo Caves
Inventor： Reza B'Far , Kent Spaulding , Americo Caves
IPC: G06G7/62
CPC classification number: G06F11/3051 , G06F11/302 , G06F11/3447 , G06F11/3457
Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.
Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件，以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型，这些模型可用于确定最佳配置。
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公开(公告)号：US08954309B2
公开(公告)日：2015-02-10
申请号：US13149663
申请日：2011-05-31
Applicant: Reza B'Far , Kent Spaulding , Americo Caves
Inventor： Reza B'Far , Kent Spaulding , Americo Caves
CPC classification number: G06F11/3051 , G06F11/302 , G06F11/3447 , G06F11/3457
Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.
Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件，以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型，这些模型可用于确定最佳配置。
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