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1. 发明授权

US07155489B1 Acquiring web page information without commitment to downloading the web page 有权
公开(公告)号：US07155489B1
公开(公告)日：2006-12-26
申请号：US09609001
申请日：2000-06-28
申请人： Lisa Heilbron , John C. Platt , Bernhard Schoelkopf , Patrice Y. Simard
发明人： Lisa Heilbron , John C. Platt , Bernhard Schoelkopf , Patrice Y. Simard
IPC分类号： G06F15/16 , G06F7/00 , G06F15/00
CPC分类号： G06F17/30905 , Y10S707/99933 , Y10S707/99936
摘要： What is disclosed is acquiring information regarding a web page, without having to commit to downloading that page. In one embodiment, after a current web page is downloaded from one source, and information regarding web pages linked to by links in the current web page are downloaded from a second source, when a user hovers a cursor over a link on a current web page, an informational region is displayed by the link that includes the information from the second source. The informational region may include, for example, a text box that apparently floats by the link. The information in the region can include, for example, keywords in the meta tags of the web page; paragraph headings of the web page; links on the web page to other pages; etc.

2. 发明授权

US07565409B2 Acquiring web page information without commitment to downloading the web page 有权
标题翻译：无需承诺下载网页即可获取网页信息
公开(公告)号：US07565409B2
公开(公告)日：2009-07-21
申请号：US11564093
申请日：2006-11-28
申请人： Lisa Heilbron , John C. Platt , Patrice Y. Simard , Bernhard Schoelkopf
发明人： Lisa Heilbron , John C. Platt , Patrice Y. Simard , Bernhard Schoelkopf
IPC分类号： G06F15/16
CPC分类号： G06F17/30905 , Y10S707/99933 , Y10S707/99936
摘要： What is disclosed is acquiring information regarding a web page, without having to commit to downloading that page. In one embodiment, after a current web page is downloaded from one source, and information regarding web pages linked to by links in the current web page are downloaded from a second source, when a user hovers a cursor over a link on a current web page, an informational region is displayed by the link that includes the information from the second source. The informational region may include, for example, a text box that apparently floats by the link. The information in the region can include, for example, keywords in the meta tags of the web page; paragraph headings of the web page; links on the web page to other pages; etc.
摘要翻译：公开的是获取关于网页的信息，而不必承诺下载该页面。在一个实施例中，在从一个源下载当前网页之后，从第二来源下载与当前网页中的链接相链接的网页的信息，当用户将光标悬停在当前网页上的链接上时，信息区域由包括来自第二源的信息的链接显示。信息区域可以包括例如显然由链接浮动的文本框。该区域中的信息可以包括例如网页的元标签中的关键字; 网页的段落标题; 网页链接到其他页面; 等等

3. 发明授权

US07016529B2 System and method facilitating pattern recognition 失效
公开(公告)号：US07016529B2
公开(公告)日：2006-03-21
申请号：US10099388
申请日：2002-03-15
申请人： Patrice Y. Simard , John C. Platt , David Willard Steinkraus
发明人： Patrice Y. Simard , John C. Platt , David Willard Steinkraus
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/4628 , G06K9/00422 , G06K2209/011
摘要： A system and method facilitating pattern recognition is provided. The invention includes a pattern recognition system having a convolutional neural network employing feature extraction layer(s) and classifier layer(s). The feature extraction layer(s) comprises convolutional layers and the classifier layer(s) comprises fully connected layers. The pattern recognition system can be trained utilizing a calculated cross entropy error. The calculated cross entropy error is utilized to update trainable parameters of the pattern recognition system.

4. 发明授权

US09396269B2 Search engine that identifies and uses social networks in communications, retrieval, and electronic commerce 有权
标题翻译：在通信，检索和电子商务中识别和使用社交网络的搜索引擎
公开(公告)号：US09396269B2
公开(公告)日：2016-07-19
申请号：US11427288
申请日：2006-06-28
申请人： Christopher A. Meek , Eric J. Horvitz , Joshua T. Goodman , Gary W. Flake , Oliver Hurst-Hiller , Anoop Gupta , Ramez Naam , Kenneth A. Moss , William H. Gates, III , John C. Platt , Trenholme J. Griffin , Bradly A. Brunell
发明人： Christopher A. Meek , Eric J. Horvitz , Joshua T. Goodman , Gary W. Flake , Oliver Hurst-Hiller , Anoop Gupta , Ramez Naam , Kenneth A. Moss , William H. Gates, III , John C. Platt , Trenholme J. Griffin , Bradly A. Brunell
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Architecture that monitors interaction data (e.g., search queries, query results and click-through rates), and provides users with links to other users that fall into similar categories with respect to the foregoing monitored activities (e.g., providing links to individuals and groups that share common interests and/or profiles). A search engine can be interactively coupled with one or more social networks, and that maps individuals and/or groups within respective social networks to subsets of categories associated with searches. A database stores mapped information which can be continuously updated and reorganized as links within the system mapping become stronger or weaker. The architecture can comprise a social network system that includes a database for mapping search-related information to an entity of a social network, and a search component for processing a search query for search results and returning a link to an entity of a social network based on the search query.
摘要翻译：监视交互数据（例如搜索查询，查询结果和点击率）的架构，并向用户提供与上述受监视活动相类似的类别的其他用户的链接（例如，提供与个人和组的链接分享共同的兴趣和/或简介）。搜索引擎可以与一个或多个社交网络交互地耦合，并且将各个社交网络内的个人和/或组映射到与搜索相关联的类别的子集。数据库存储可以不断更新和重新组织的映射信息，因为系统映射中的链接变得更强或更弱。该架构可以包括社交网络系统，其包括用于将搜索相关信息映射到社交网络的实体的数据库，以及用于处理搜索结果的搜索查询并返回到基于社交网络的实体的链接的搜索组件在搜索查询上。

5. 发明申请

US20130275434A1 DEVELOPING IMPLICIT METADATA FOR DATA STORES 审中-公开
标题翻译：为数据存储开发隐含元数据
公开(公告)号：US20130275434A1
公开(公告)日：2013-10-17
申请号：US13444482
申请日：2012-04-11
申请人： John C. Platt , Surajit Chaudhuri , Lev Novik , Henricus Johannes Maria Meijer
发明人： John C. Platt , Surajit Chaudhuri , Lev Novik , Henricus Johannes Maria Meijer
IPC分类号： G06F17/30
摘要： A system enables metadata to be gathered about a data store beginning from the creation and generation of the data store, through subsequent use of the data store. This metadata can include keywords related to the data store and data appearing within the data store. Thus, keywords and other metadata can be generated without owner/creator intervention, with enough semantic meaning to make a discovery process associated with the data store much easier and efficient. Usage of or communication regarding a data store are monitored and keywords are extracted from the usage or communication. The keywords are then written to otherwise associated with metadata of the data store. During searching, keywords in the metadata are made available to be used to attempt to match query terms entered by a searcher.
摘要翻译：系统通过后续使用数据存储，可以从数据存储的创建和生成开始收集关于数据存储的元数据。该元数据可以包括与数据存储相关的关键字和数据存储中出现的数据。因此，关键字和其他元数据可以在没有所有者/创建者干预的情况下生成，具有足够的语义意义，使得与数据存储相关联的发现过程更容易和高效。对数据存储的使用或通信进行监控，并从使用或通信中提取关键字。然后将关键字写入与数据存储的元数据相关联。在搜索期间，元数据中的关键字可用于尝试匹配搜索者输入的查询词。

6. 发明申请

US20130268531A1 Finding Data in Connected Corpuses Using Examples 有权
公开(公告)号：US20130268531A1
公开(公告)日：2013-10-10
申请号：US13443681
申请日：2012-04-10
申请人： John C. Platt , Surajit Chaudhuri , Lev Novik , Henricus Johannes Maria Meijer , Efim Hudis , Kunal Mukerjee , Christopher Alan Hays
发明人： John C. Platt , Surajit Chaudhuri , Lev Novik , Henricus Johannes Maria Meijer , Efim Hudis , Kunal Mukerjee , Christopher Alan Hays
IPC分类号： G06F17/30
CPC分类号： G06F17/30758 , G06F17/30303 , G06F17/30395 , G06F17/3053 , G06F17/30539 , G06F17/30595 , G06F17/30722 , G06F17/30867
摘要： In one embodiment, datasets are stored in a catalog. The datasets are enriched by establishing relationships among the domains in different datasets. A user searches for relevant datasets by providing examples of the domains of interest. The system identifies datasets corresponding to the user-provided examples. The system them identifies connected subsets of the datasets that are directly linked or indirectly linked through other domains. The user provides known relationship examples to filter the connected subsets and to identify the connected subsets that are most relevant to the user's query. The selected connected subsets may be further analyzed by business intelligence/analytics to create pivot tables or to process the data.

7. 发明申请

US20120323968A1 Learning Discriminative Projections for Text Similarity Measures 审中-公开
标题翻译：用于文本相似度量度的学习判别预测
公开(公告)号：US20120323968A1
公开(公告)日：2012-12-20
申请号：US13160485
申请日：2011-06-14
申请人： Wen-tau Yih , Kristina N. Toutanova , Christopher A. Meek , John C. Platt
发明人： Wen-tau Yih , Kristina N. Toutanova , Christopher A. Meek , John C. Platt
IPC分类号： G06F17/30
CPC分类号： G06F16/31
摘要： A model for mapping the raw text representation of a text object to a vector space is disclosed. A function is defined for computing a similarity score given two output vectors. A loss function is defined for computing an error based on the similarity scores and the labels of pairs of vectors. The parameters of the model are tuned to minimize the loss function. The label of two vectors indicates a degree of similarity of the objects. The label may be a binary number or a real-valued number. The function for computing similarity scores may be a cosine, Jaccard, or differentiable function. The loss function may compare pairs of vectors to their labels. Each element of the output vector is a linear or non-linear function of the terms of an input vector. The text objects may be different types of documents and two different models may be trained concurrently.
摘要翻译：公开了将文本对象的原始文本表示映射到向量空间的模型。定义了一个功能，用于计算给定两个输出向量的相似度得分。定义了一种损失函数，用于计算基于相似度得分和向量对的标签的误差。调整模型的参数以最小化损失函数。两个向量的标签表示对象的相似度。标签可以是二进制数字或实数值。用于计算相似性分数的函数可以是余弦，Jaccard或可微分函数。损失函数可以将向量对与其标签进行比较。输出向量的每个元素是输入向量的项的线性或非线性函数。文本对象可以是不同类型的文档，并且可以同时训练两个不同的模型。

8. 发明授权

US08103011B2 Signal detection using multiple detectors 有权
标题翻译：使用多个探测器进行信号检测
公开(公告)号：US08103011B2
公开(公告)日：2012-01-24
申请号：US11669549
申请日：2007-01-31
申请人： Asif Iqbal Mohammad , Jack W. Stokes, III , John C. Platt , Arungunram C. Surendran
发明人： Asif Iqbal Mohammad , Jack W. Stokes, III , John C. Platt , Arungunram C. Surendran
IPC分类号： H04B3/20 , H04B1/38 , A61F11/06 , G06F17/10 , H04M9/08
CPC分类号： H04M19/04 , H04B3/234
摘要： Signal detectors are described herein. By way of example, a system for detecting signals can include a microphone signal detector, a loudspeaker signal detector, a signal discriminator and a decision component. When the microphone signal detector detects the presence of a microphone signal, the loudspeaker signal detector detects the presence of a loudspeaker signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component can confirm the presence of doubletalk. When the microphone signal detector detects the presence of a microphone signal and the signal discriminator determines that near-end speech dominates loudspeaker echo, the decision component confirms the presence of near-end signal.
摘要翻译：这里描述了信号检测器。作为示例，用于检测信号的系统可以包括麦克风信号检测器，扬声器信号检测器，信号鉴别器和决定部件。当麦克风信号检测器检测到麦克风信号的存在时，扬声器信号检测器检测到扬声器信号的存在，并且信号鉴别器确定近端语音主导扬声器回波，判定部件可以确认双音节的存在。当麦克风信号检测器检测到麦克风信号的存在并且信号鉴别器确定近端语音主导扬声器回波时，决定部件确认近端信号的存在。

9. 发明申请

US20120005282A1 COLLABORATIVE RANKING AND FILTERING OF ELECTRONIC MAIL MESSAGES 审中-公开
标题翻译：电子邮件信息的协同排名和过滤
公开(公告)号：US20120005282A1
公开(公告)日：2012-01-05
申请号：US12829676
申请日：2010-07-02
申请人： Nicole D. Steinbok , Jonathan J. Cadiz , John C. Platt , F. David Jones , David John Rasmussen , Thirumalesh K. Bhat , Mark R. Dawson , Eli Y. Tamanaha , Bill Li , Brian D. Williams
发明人： Nicole D. Steinbok , Jonathan J. Cadiz , John C. Platt , F. David Jones , David John Rasmussen , Thirumalesh K. Bhat , Mark R. Dawson , Eli Y. Tamanaha , Bill Li , Brian D. Williams
IPC分类号： G06F15/16
CPC分类号： G06Q10/101 , G06F16/353
摘要： Electronic mail messages may be collaboratively ranked and filtered. User actions on an electronic mail message received from a sender by one or more recipients may be monitored. Statistics may be generated based on the user actions. The generated statistics may be utilized to provide a quality ranking of the electronic mail message based on the generated statistics.
摘要翻译：电子邮件消息可以协作排序和过滤。可以监视由一个或多个接收者从发送者接收的电子邮件消息的用户动作。可以基于用户动作生成统计信息。所生成的统计数据可以用于基于生成的统计量来提供电子邮件消息的质量排序。

10. 发明授权

US07941382B2 Method of classifying and active learning that ranks entries based on multiple scores, presents entries to human analysts, and detects and/or prevents malicious behavior 有权
标题翻译：基于多个分数对条目进行分类和主动学习的方法，向人类分析人员提供条目，并检测和/或防止恶意行为
公开(公告)号：US07941382B2
公开(公告)日：2011-05-10
申请号：US11871587
申请日：2007-10-12
申请人： Jack W. Stokes , John C. Platt , Michael Shilman , Joseph L. Kravis
发明人： Jack W. Stokes , John C. Platt , Michael Shilman , Joseph L. Kravis
IPC分类号： G06E1/00
CPC分类号： G06F15/16
摘要： A malicious behavior detection/prevention system, such as an intrusion detection system, is provided that uses active learning to classify entries into multiple classes. A single entry can correspond to either the occurrence of one or more events or the non-occurrence of one or more events. During a training phase, entries are automatically classified into one of multiple classes. After classifying the entry, a generated model for the determined class is utilized to determine how well an entry corresponds to the model. Ambiguous classifications along with entries that do not fit the model well for the determined class are selected for labeling by a human analyst. The selected entries are presented to a human analyst for labeling. These labels are used to further train the classifier and the models. During an evaluation phase, entries are automatically classified using the trained classifier and a policy associated with determined class is applied.
摘要翻译：提供了一种恶意行为检测/预防系统，例如入侵检测系统，其使用主动学习将条目分类到多个类中。单个条目可以对应于一个或多个事件的发生或一个或多个事件的不发生。在训练阶段，条目自动分为多个类别之一。在对条目进行分类之后，使用所确定的类的生成模型来确定条目对应于模型的良好程度。选择不确定的分类以及不符合确定类别的模型的条目，由人类分析师进行标签。选定的条目提交给人类分析人员进行标签。这些标签用于进一步训练分类器和型号。在评估阶段，使用训练有素的分类器对条目进行自动分类，并应用与确定类相关联的策略。

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