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1. 发明授权

US07730003B2 Predictive model augmentation by variable transformation 失效
标题翻译：通过变量变换预测模型增加
公开(公告)号：US07730003B2
公开(公告)日：2010-06-01
申请号：US10826950
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
发明人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
IPC分类号： G06E1/00 , G06E3/00
CPC分类号： G06Q10/04 , G06Q30/0201
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.Historical multi-dimensional data is received representing multiple source variables to be used as an input to a predictive model of a commercial system and applying transformations to the data that are selected based on the strength of measurement represented by a variable; variables are transformed into new more predictive variables, including the Bayesian renormalization of sparsely sampled variable and including the imputation of missing values for categorical or continuous variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。接收表示多个源变量的历史多维数据，以用作商业系统的预测模型的输入，并且基于由变量表示的测量强度来选择的数据进行变换; 变量被变换成新的更具预测性的变量，包括稀疏抽样变量的贝叶斯重正化，包括对分类或连续变量的缺失值的插补。

2. 发明申请

US20120197608A1 PREDICTIVE MODEL VALIDATION 审中-公开
标题翻译：预测模型验证
公开(公告)号：US20120197608A1
公开(公告)日：2012-08-02
申请号：US13444963
申请日：2012-04-12
申请人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
发明人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
IPC分类号： G06F7/60
CPC分类号： G06Q10/04 , G06Q30/02 , G06Q40/025
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is enabled to validate the model development process with cross-validation between at least two subsets of the historical data; the validated model development process is enabled to be reapplied.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。关于用户根据关于正在建模的系统的历史数据生成预测模型的项目，用户能够通过历史数据的至少两个子集之间的交叉验证来验证模型开发过程; 验证的模型开发过程能够被重新应用。

3. 发明授权

US08170841B2 Predictive model validation 有权
标题翻译：预测模型验证
公开(公告)号：US08170841B2
公开(公告)日：2012-05-01
申请号：US10826947
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
发明人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
IPC分类号： G06G7/60
CPC分类号： G06Q10/04 , G06Q30/02 , G06Q40/025
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is enabled to validate the model development process with cross-validation between at least two subsets of the historical data; the validated model development process is enabled to be reapplied.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。关于用户根据关于正在建模的系统的历史数据生成预测模型的项目，用户能够通过历史数据的至少两个子集之间的交叉验证来验证模型开发过程; 验证的模型开发过程能够被重新应用。

4. 发明申请

US20050234688A1 Predictive model generation 有权
标题翻译：预测模型生成
公开(公告)号：US20050234688A1
公开(公告)日：2005-10-20
申请号：US10826630
申请日：2004-04-16
申请人： Stephen Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
发明人： Stephen Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
IPC分类号： G05B13/02 , G05B17/02 , G06F17/50 , G06G7/48 , G06G7/62
CPC分类号： G05B17/02
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. Historical multi-dimensional data is received representing multiple variables transformed to be maximally predictive for at least one outcome variable to be used as an input to a predictive model of a commercial system, model development process is validated for at one or more sets of such variables and enabling a user of a model generation tool to combine at least two of the variables from the sets of variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。接收的历史多维数据表示多个变量，以变换为对用作商业系统的预测模型的输入的至少一个结果变量进行最大预测，模型开发过程在一个或多个这样的变量集合并使得模型生成工具的用户能够组合来自变量集合中的至少两个变量。

5. 发明申请

US20050234763A1 Predictive model augmentation by variable transformation 失效
标题翻译：通过变量变换预测模型增加
公开(公告)号：US20050234763A1
公开(公告)日：2005-10-20
申请号：US10826950
申请日：2004-04-16
申请人： Stephen Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
发明人： Stephen Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
IPC分类号： G06Q10/00 , G06F17/60
CPC分类号： G06Q10/04 , G06Q30/0201
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. Historical multi-dimensional data is received representing multiple source variables to be used as an input to a predictive model of a commercial system and applying transformations to the data that are selected based on the strength of measurement represented by a variable; variables are transformed into new more predictive variables, including the Bayesian renormalization of sparsely sampled variable and including the imputation of missing values for categorical or continuous variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。接收表示多个源变量的历史多维数据，以用作商业系统的预测模型的输入，并且基于由变量表示的测量强度来选择的数据进行变换; 变量被变换成新的更具预测性的变量，包括稀疏抽样变量的贝叶斯重正化，包括对分类或连续变量的缺失值的插补。

6. 发明申请

US20050234753A1 Predictive model validation 有权
标题翻译：预测模型验证
公开(公告)号：US20050234753A1
公开(公告)日：2005-10-20
申请号：US10826947
申请日：2004-04-16
申请人： Stephen Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
发明人： Stephen Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
IPC分类号： G06F19/00 , G06Q10/00 , G06Q30/00 , G06F17/60
CPC分类号： G06Q10/04 , G06Q30/02 , G06Q40/025
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is enabled to validate the model development process with cross-validation between at least two subsets of the historical data; the validated model development process is enabled to be reapplied.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。关于用户根据关于正在建模的系统的历史数据生成预测模型的项目，用户能够通过历史数据的至少两个子集之间的交叉验证来验证模型开发过程; 验证的模型开发过程能够被重新应用。

7. 发明授权

US07933762B2 Predictive model generation 有权
标题翻译：预测模型生成
公开(公告)号：US07933762B2
公开(公告)日：2011-04-26
申请号：US10826630
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard J. W. Mansfield , Marc Jacobs , Donald B. Rubin , Jay C. Hirshberg
发明人： Stephen K. Pinto , Richard J. W. Mansfield , Marc Jacobs , Donald B. Rubin , Jay C. Hirshberg
IPC分类号： G06F9/45 , G06N5/00 , G06N5/02
CPC分类号： G05B17/02
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.Historical multi-dimensional data is received representing multiple variables transformed to be maximally predictive for at least one outcome variable to be used as an input to a predictive model of a commercial system, model development process is validated for at one or more sets of such variables and enabling a user of a model generation tool to combine at least two of the variables from the sets of variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。接收的历史多维数据表示多个变量，以变换为对用作商业系统的预测模型的输入的至少一个结果变量进行最大预测，模型开发过程在一个或多个这样的变量集合并使得模型生成工具的用户能够组合来自变量集合中的至少两个变量。

8. 外观设计

USD896507S1 Handbag 有权
公开(公告)号：USD896507S1
公开(公告)日：2020-09-22
申请号：US29693059
申请日：2019-05-30
申请人： Marc Jacobs Trademarks, LLC
设计人： Marc Jacobs

9. 外观设计

USD712273S1 Bottle element 有权
标题翻译：瓶子元素
公开(公告)号：USD712273S1
公开(公告)日：2014-09-02
申请号：US29444017
申请日：2013-01-25
申请人： Marc Jacobs Trademarks, L.L.C.
设计人： Marc Jacobs , Sayuri Shoji

10. 发明授权

US07666646B2 Crystal structure of human Pim-1 kinase protein complexes and binding pockets thereof, and uses thereof in drug design 失效
标题翻译：人类Pim-1激酶蛋白复合物及其结合口袋的晶体结构及其在药物设计中的应用
公开(公告)号：US07666646B2
公开(公告)日：2010-02-23
申请号：US11242666
申请日：2005-10-04
申请人： Marc Jacobs , Brian Hare , Lovorka Swenson
发明人： Marc Jacobs , Brian Hare , Lovorka Swenson
IPC分类号： C12N9/12
CPC分类号： G01N33/5748 , C07K2299/00 , C12N9/1205 , G01N33/573 , G01N33/6803 , G01N33/6842 , G01N2333/91205 , G01N2333/9121
摘要： The present invention relates to the X-ray analysis of crystalline molecules or molecular complexes of human Pim-1. The present invention also relates to Pim-1-like binding pockets. The present invention provides a computer comprising a data storage medium encoded with the structure coordinates of such binding pockets. This invention also relates to methods of using the structure coordinates to solve the structure of homologous proteins or protein complexes. In addition, this invention relates to methods of using the structure coordinates to screen for and design compounds, including inhibitory compounds, that bind to Pim-1 protein, Pim-1 protein complexes, or homologues thereof. The invention also relates to crystallizable compositions and crystals comprising Pim-1 protein, Pim-1 protein complexes with adenosine, staurosporine or 2-(4-morpholinyl)-8-phenyl-4H-1-benzopyran-4-one and methods to produce these crystals.
摘要翻译：本发明涉及人Pim-1的结晶分子或分子复合物的X射线分析。本发明还涉及Pim-1样结合口袋。本发明提供了一种计算机，其包括用这种结合口袋的结构坐标编码的数据存储介质。本发明还涉及使用结构坐标来解决同源蛋白质或蛋白质复合物的结构的方法。此外，本发明涉及使用结构坐标筛选和设计结合Pim-1蛋白，Pim-1蛋白复合物或其同系物的化合物（包括抑制性化合物）的方法。本发明还涉及包含Pim-1蛋白，Pim-1蛋白复合物与腺苷，星形孢菌素或2-（4-吗啉基）-8-苯基-4H-1-苯并吡喃-4-酮的可结晶组合物和晶体以及产生这些晶体。

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