Low-power, glitch-less, configurable delay element
    91.
    发明授权
    Low-power, glitch-less, configurable delay element 有权
    低功耗,无毛刺,可配置延迟元件

    公开(公告)号:US08248136B1

    公开(公告)日:2012-08-21

    申请号:US13007804

    申请日:2011-01-17

    IPC分类号: H03H11/26

    CPC分类号: H03K5/131

    摘要: In one embodiment, a configurable delay element has three stages. The first stage has an 8-buffer first delay chain and an (8×1) first mux that selects one of the eight first-delay-chain outputs. The second stage has a 24-buffer second delay chain connected to receive the first-mux output and organized into three 8-buffer sub-chains and a (4×1) second mux that selects one of the four second-delay-chain outputs. The third stage has a 96-buffer third delay chain connected to receive the second-mux output and organized into three 32-buffer sub-chains and a (4×1) third mux that selects one of the four third-delay-chain outputs as the delay-element output signal. A delay-element controller provides glitch-less updates to the signal used to control the delay-element muxes by timing those updates to occur when all delay-element buffers have the same state. The controller bases the update timing on the delay-element output signal.

    摘要翻译: 在一个实施例中,可配置延迟元件具有三个阶段。 第一级具有8缓冲器第一延迟链和(8×1)第一多路复用器,其选择八个第一延迟链输出之一。 第二级具有连接的24缓冲器第二延迟链,用于接收第一多路复用器输出并被组织成三个8缓冲子链和选择四个第二延迟链输出之一的(4×1)第二复用器 。 第三级具有96缓冲器第三延迟链,用于接收第二多路复用器输出,并组织成三个32缓冲子链和(4×1)第三复用器,选择四个第三延迟链输出中的一个 作为延迟元件输出信号。 延迟元件控制器通过定时在所有延迟元件缓冲器具有相同状态时进行定时的这些更新来为用于控制延迟元件多路复用器的信号提供无故障更新。 控制器基于延迟元件输出信号的更新时序。

    Role of miRNA in T cell leukemia
    92.
    发明授权
    Role of miRNA in T cell leukemia 有权
    miRNA在T细胞白血病中的作用

    公开(公告)号:US08247388B2

    公开(公告)日:2012-08-21

    申请号:US12455898

    申请日:2009-06-08

    IPC分类号: A61K48/00

    摘要: The ability of miR-181a to support active signaling between Notch and pre-TCR pathways by coordinately dampening negative regulators of these pathways allows the use of miR-181a as a therapeutic target for T-ALL.

    摘要翻译: 通过协调抑制这些途径的负调节因子,miR-181a支持Notch和前TCR途径之间的活性信号传导的能力允许使用miR-181a作为T-ALL的治疗靶标。

    CLICK MODEL THAT ACCOUNTS FOR A USER'S INTENT WHEN PLACING A QUIERY IN A SEARCH ENGINE
    93.
    发明申请
    CLICK MODEL THAT ACCOUNTS FOR A USER'S INTENT WHEN PLACING A QUIERY IN A SEARCH ENGINE 审中-公开
    在搜索引擎中放置校园时,用户的信息的点击模式

    公开(公告)号:US20120143789A1

    公开(公告)日:2012-06-07

    申请号:US12957521

    申请日:2010-12-01

    IPC分类号: G06F17/30 G06F15/18 G06N5/02

    CPC分类号: G06F16/951

    摘要: A method of generating training data for a search engine begins by retrieving log data pertaining to user click behavior. The log data is analyzed based on a click model that includes a parameter pertaining to a user intent bias representing the intent of a user in performing a search in order to determine a relevance of each of a plurality of pages to a query. The relevance of the pages is then converted into training data.

    摘要翻译: 生成搜索引擎的训练数据的方法从检索与用户点击行为有关的日志数据开始。 基于点击模型分析日志数据,所述点击模型包括与用户意图偏差相关的参数,所述参数表示用户执行搜索的意图,以便确定多个页面中的每一个与查询的相关性。 然后将页面的相关性转换为训练数据。

    Smart attribute classification (SAC) for online reviews
    94.
    发明授权
    Smart attribute classification (SAC) for online reviews 有权
    智能属性分类(SAC)用于在线评论

    公开(公告)号:US08156119B2

    公开(公告)日:2012-04-10

    申请号:US12355987

    申请日:2009-01-19

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06N99/005 G06F17/30707

    摘要: Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence are described. The techniques employ an offline training portion, an online prediction portion, and an attribute identification algorithm. The offline training portion utilizes relationships between attributes within sentences input to the offline training portion to improve attribute identification of the attribute identification algorithm. The online prediction portion predicts, for each sentence input, the attributes of the sentence, and the number of attributes the sentence is associated with by employing the attribute identification algorithm.

    摘要翻译: 描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。 该技术采用离线训练部分,在线预测部分和属性识别算法。 离线训练部分利用输入到离线训练部分的句子内的属性之间的关系来改进属性识别算法的属性识别。 在线预测部分通过使用属性识别算法来预测每个句子输入的句子的属性以及该句子所关联的属性的数量。

    Method and system for prioritizing communications based on sentence classifications
    96.
    发明授权
    Method and system for prioritizing communications based on sentence classifications 有权
    基于句子分类优先通信的方法和系统

    公开(公告)号:US08112268B2

    公开(公告)日:2012-02-07

    申请号:US12254796

    申请日:2008-10-20

    IPC分类号: G06F17/28

    CPC分类号: G06F17/30

    摘要: A method and system for prioritizing communications based on classifications of sentences within the communications is provided. A sentence classification system may classify sentences of communications according to various classifications such as “sentence mode.” The sentence classification system trains a sentence classifier using training data and then classifies sentences using the trained sentence classifier. After the sentences of a communication are classified, a document ranking system may generate a rank for the communication based on the classifications of the sentences within the communication. The document ranking system trains a document rank classifier using training data and then calculates the rank of communications using the trained document rank classifier.

    摘要翻译: 提供了一种基于通信内的句子分类来优先化通信的方法和系统。 句子分类系统可以根据诸如“句子模式”的各种分类对通信句进行分类。句子分类系统使用训练数据训练句子分类器,然后使用训练句子分类器对句子进行分类。 在对通信的句子进行分类之后,文档排序系统可以基于通信中的句子的分类来生成用于通信的等级。 文档排序系统使用训练数据训练文档排序分类器,然后使用经过训练的文档排序分类器来计算通信的等级。

    LEARNING USER INTENT FROM RULE-BASED TRAINING DATA
    97.
    发明申请
    LEARNING USER INTENT FROM RULE-BASED TRAINING DATA 审中-公开
    从基于规则的培训数据学习用户信息

    公开(公告)号:US20110289025A1

    公开(公告)日:2011-11-24

    申请号:US12783457

    申请日:2010-05-19

    IPC分类号: G06F15/18 G06N5/02

    CPC分类号: G06N5/025 G06N20/00

    摘要: The search intent co-learning technique described herein learns user search intents from rule-based training data and denoises and debiases this data. The technique generates several sets of biased and noisy training data using different rules. It trains each of a set of classifiers using different training data sets independently. The classifiers are then used to categorize the training data as well as any unlabeled data. The classified data confidently classified by one classifier is added to other training data sets, and the wrongly classified data is filtered out from the training data sets, so as to create an accurate training data set with which to train a classifier to learn a user's intent for submitting a search query string or targeting a user for on-line advertising based on user behavior.

    摘要翻译: 本文描述的搜索意图共同学习技术从基于规则的训练数据中学习用户搜索意图,并对该数据进行去噪和去噪。 该技术使用不同的规则产生几组偏倚和嘈杂的训练数据。 它使用不同的训练数据集来独立地训练一组分类器中的每一个。 然后,分类器用于对训练数据以及任何未标记的数据进行分类。 通过一个分类器自信分类的分类数据被添加到其他训练数据集,并且从训练数据集中过滤出错误分类的数据,以便创建准确的训练数据集,以训练分类器来学习用户的意图 用于根据用户行为提交搜索查询字符串或定位用户进行在线广告。

    Concept network
    98.
    发明授权
    Concept network 有权
    概念网络

    公开(公告)号:US08065298B2

    公开(公告)日:2011-11-22

    申请号:US12181251

    申请日:2008-07-28

    IPC分类号: G06F17/30

    摘要: A concept network that can be generated in response to a user query. Various embodiments include analysis of structure information, for example, where such information is based at least in part on Universal Resource Locators (URLs) of Web sites or data storage locations. A concept network may be used with a search tool where the search tool searches a plurality of sites (e.g., Web sites, data storage locations, etc.). In such an example, each site location is arranged with a node. Certain ones of the nodes are connected by at least one link. The concept network selects a portion of certain ones of the nodes based on the link, wherein the at least one link is used for content purposes.

    摘要翻译: 可以响应于用户查询生成的概念网络。 各种实施例包括对结构信息的分析,例如,其中这种信息至少部分地基于网站的通用资源定位符(URL)或数据存储位置。 概念网络可以与搜索工具一起使用,其中搜索工具搜索多个站点(例如,网站,数据存储位置等)。 在这样的示例中,每个站点位置与节点一起排列。 某些节点通过至少一个链路连接。 所述概念网络基于所述链路选择所述节点中的某些节点的一部分,其中所述至少一个链路用于内容目的。

    Superalloy Repair Welding Using Multiple Alloy Powders
    99.
    发明申请
    Superalloy Repair Welding Using Multiple Alloy Powders 有权
    使用多种合金粉末的超合金修补焊接

    公开(公告)号:US20110226390A1

    公开(公告)日:2011-09-22

    申请号:US12728353

    申请日:2010-03-22

    IPC分类号: B23K9/04 B23K31/02 C22F1/00

    摘要: A method of welding a gas turbine engine substrate composed of a gamma prime precipitation strengthened nickel based superalloy, including the steps of: applying weld beads on the substrate to form a continuous layer the thickness of the weld beads; using a filler material made of a first material exhibiting comparable strength and ductility as the substrate, and a second material exhibiting greater ductility than the substrate; and creating crack propagation mitigating regions within the continuous layer by increasing the percentage of the second material in the crack propagation mitigating regions over the percentage of the second material in the remainder of the continuous layer.

    摘要翻译: 一种焊接由γ'析出强化的镍基超级合金构成的燃气轮机发动机基体的方法,包括以下步骤:在所述基底上施加焊珠以形成所述焊珠的厚度的连续层; 使用由与基材相当的强度和延展性的第一材料制成的填充材料,以及显示比基材更大延展性的第二材料; 以及通过增加在连续层的其余部分中的第二材料的百分比上的裂纹扩展减缓区域中的第二材料的百分比来在连续层内创建裂纹扩展减缓区域。

    QUERY EXPANSION THROUGH SEARCHING CONTENT IDENTIFIERS
    100.
    发明申请
    QUERY EXPANSION THROUGH SEARCHING CONTENT IDENTIFIERS 有权
    通过搜索内容标识符查询扩展

    公开(公告)号:US20110078193A1

    公开(公告)日:2011-03-31

    申请号:US12570948

    申请日:2009-09-30

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30392 G06F17/30572

    摘要: Techniques and technologies for expanding a gallery by seeding the gallery with seed query results. A template is identified which is associated with the subjects of the seed queries and content identifiers are identified which include the template. These content identifiers are used to expand the gallery to include more content identifiers than before the expansion of the gallery.

    摘要翻译: 通过种子查询结果种植画廊来扩大画廊的技术和技术。 识别与种子查询的主题相关联的模板,并且识别包括模板的内容标识符。 这些内容标识符用于展开图库以包括比展开图库之前更多的内容标识符。