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    • 1. 发明授权
    • Event prediction using hierarchical event features
    • 使用分层事件特征的事件预测
    • US08265778B2
    • 2012-09-11
    • US12817577
    • 2010-06-17
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • G06F19/00
    • G06F17/30958G06F17/30867
    • Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
    • 描述使用分层事件特征的事件预测。 在一个实施例中,搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。 例如,描述搜索结果事件的特征是通常的资源定位符前缀级别,其本质上是分层相关的。 在一个实施例中,创建和存储图形数据结构并用于表示特征之间的分层关系。 在实例中使用在线训练过程,使知识能够通过图形数据结构根据特征之间的层次关系进行传播。 在一个示例中,图形数据结构用于预测用户是否将点击搜索结果,并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。 在另一个例子中,事件是广告印象,并且预测被在线广告系统使用。
    • 2. 发明申请
    • Event Prediction Using Hierarchical Event Features
    • 使用分层事件特征的事件预测
    • US20110313548A1
    • 2011-12-22
    • US12817577
    • 2010-06-17
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • G05B13/02G06F15/18G06F17/30
    • G06F17/30958G06F17/30867
    • Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
    • 描述使用分层事件特征的事件预测。 在一个实施例中,搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。 例如,描述搜索结果事件的特征是通常的资源定位符前缀级别,其本质上是分层相关的。 在一个实施例中,创建和存储图形数据结构并用于表示特征之间的分层关系。 在实例中使用在线训练过程,使知识能够通过图形数据结构根据特征之间的层次关系进行传播。 在一个示例中,图形数据结构用于预测用户是否将点击搜索结果,并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。 在另一个例子中,事件是广告印象,并且预测被在线广告系统使用。
    • 3. 发明授权
    • Event prediction using hierarchical event features
    • 使用分层事件特征的事件预测
    • US08831754B2
    • 2014-09-09
    • US13608714
    • 2012-09-10
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • G06F19/00G06F17/30
    • G06F17/30958G06F17/30867
    • Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
    • 描述使用分层事件特征的事件预测。 在一个实施例中,搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。 例如,描述搜索结果事件的特征是通常的资源定位符前缀级别,其本质上是分层相关的。 在一个实施例中,创建和存储图形数据结构并用于表示特征之间的分层关系。 在实例中使用在线训练过程,使知识能够通过图形数据结构根据特征之间的层次关系进行传播。 在一个示例中,图形数据结构用于预测用户是否将点击搜索结果,并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。 在另一个例子中,事件是广告印象,并且预测被在线广告系统使用。
    • 4. 发明申请
    • Event Prediction Using Hierarchical Event Features
    • 使用分层事件特征的事件预测
    • US20130006900A1
    • 2013-01-03
    • US13608714
    • 2012-09-10
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • Michael J. TaylorVishwa VinayYauhen Shnitko
    • G06F15/18
    • G06F17/30958G06F17/30867
    • Event prediction using hierarchical event features is described. In an embodiment a search engine monitors search results presented to users and whether users click on those search results. For example, features describing the search result events are universal resource locator prefix levels which are inherently hierarchically related. In an embodiment a graphical data structure is created and stored and used to represent the hierarchical relationships between features. An online training process is used in examples which enables knowledge to be propagated through the graphical data structure according to the hierarchical relations between features. In an example, the graphical data structure is used to predict whether a user will click on a search result and those predictions are used by the search engine to rank search results for future searches. In another example the events are advertisement impressions and the predictions are used by an online advertisement system.
    • 描述使用分层事件特征的事件预测。 在一个实施例中,搜索引擎监视呈现给用户的搜索结果以及用户是否点击这些搜索结果。 例如,描述搜索结果事件的特征是通常的资源定位符前缀级别,其本质上是分层相关的。 在一个实施例中,创建和存储图形数据结构并用于表示特征之间的分层关系。 在实例中使用在线训练过程,使知识能够通过图形数据结构根据特征之间的层次关系进行传播。 在一个示例中,图形数据结构用于预测用户是否将点击搜索结果,并且搜索引擎使用这些预测来对未来搜索的搜索结果进行排序。 在另一个例子中,事件是广告印象,并且预测被在线广告系统使用。
    • 9. 发明授权
    • Method for isolating cellular products by cryopreservation
    • 通过冷冻保存分离细胞产物的方法
    • US08252589B2
    • 2012-08-28
    • US12654147
    • 2009-12-11
    • Michael J. TaylorDavid E. Pegg
    • Michael J. TaylorDavid E. Pegg
    • C12N5/02
    • C12N5/0677A01N1/0221
    • Methods of isolating cellular products, such as pancreatic islets, may be used in diabetes research and therapeutic transplantation. The methods may involve providing a tissue having desired cells that are less prone to destructive freezing and undesired cells that are more prone to destructive freezing, or pre-treating a tissue to have such characteristics. The methods may involve freezing the tissue, disrupting the tissue, warming the tissue, and separating the desired cells from undesired cellular material to obtain the cellular product. The methods may thereby provide an enzyme-free or reduced-enzyme method of isolating a cellular product that is more consistent, reliable and less toxic than conventional methods. The methods may also yield an optimum quantity of cellular product that retain sufficient functional integrity to be useful as a transplantation resource.
    • 分离细胞产物(如胰岛)的方法可用于糖尿病研究和治疗性移植。 所述方法可以包括提供具有不太易于破坏性冷冻的期望细胞的组织和更易于破坏性冷冻的不想要的细胞或预处理组织以具有这些特征的组织。 所述方法可以包括冷冻组织,破坏组织,加热组织,以及将期望的细胞与不期望的细胞材料分离以获得细胞产物。 因此,该方法可以提供与常规方法更一致,可靠和毒性更低的细胞产物的无酶或还原酶方法。 所述方法还可以产生保持足够的功能完整性作为移植资源有用的最佳量的细胞产物。