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81. 发明授权

US09280626B2 Efficiently determining Boolean satisfiability with lazy constraints 有权
标题翻译：通过延迟约束有效地确定布尔可满足性
公开(公告)号：US09280626B2
公开(公告)日：2016-03-08
申请号：US13458252
申请日：2012-04-27
申请人： Jason R. Baumgartner , Michael L. Case , Robert L. Kanzelman , Hari Mony
发明人： Jason R. Baumgartner , Michael L. Case , Robert L. Kanzelman , Hari Mony
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06 , G06F17/50 , G06F17/11
CPC分类号： G06F17/504 , G06F17/11 , G06F2217/06
摘要： A mechanism is provided for efficiently determining Boolean satisfiability (SAT) using lazy constraints. A determination is made as to whether a SAT problem is satisfied without constraints in a list of constraints. Responsive to the SAT problem being satisfied without constraints, a set of variable assignments that are determined in satisfying the SAT problem without constraints are fixed. For each constraint in the list of constraints, a determination is made as to whether the SAT problem with the constraint results in the set of variable assignments remaining constant. Responsive to the SAT problem with the constraint resulting in the set of variable assignments remaining constant, the constraint is added to a list of non-affecting constraints and a satisfied result is returned.
摘要翻译：提供了一种使用延迟约束有效地确定布尔可满足性（SAT）的机制。确定SAT问题是否满足约束列表中的约束。响应于没有约束的满足SAT问题的SAT问题，在不受约束的情况下满足SAT问题确定的一组可变分配是固定的。对于约束列表中的每个约束，确定具有约束的SAT问题是否导致可变分配集合保持不变。响应于导致变量赋值集合保持不变的约束的SAT问题，约束被添加到不受影响的约束的列表，并且返回满意的结果。

82. 发明申请

US20160019297A1 METHOD AND APPARATUS FOR CLONING A TARGET LIST 审中-公开
标题翻译：克隆目标表的方法和装置
公开(公告)号：US20160019297A1
公开(公告)日：2016-01-21
申请号：US14525447
申请日：2014-10-28
申请人： DATAGENCE INC.
发明人： Bradley Mack , David B. Wirsching, III , Christopher S. Alewine
IPC分类号： G06F17/30 , G06N7/02
CPC分类号： G06Q30/02
摘要： A computing device (e.g., a server or other type of computer) electronically receives multiple target records from a client and determines which records of the target list matches records of a database. The matched records of the database include one or more additional fields that are not contained in the target records received from the client. The computing device models the relationship among the matched records of the database with respect to the one or more additional fields. In one implementation, the computing device carries out this modeling by performing stepwise linear regression on the matched records of the database with respect to the one or more additional fields. The computing device uses the output of this modeling process in order to identify which of the one or more additional fields has a significant impact on the matching between the records of the target list and the records of the database.
摘要翻译：计算设备（例如，服务器或其他类型的计算机）从客户端电子地接收多个目标记录，并确定目标列表的哪些记录与数据库的记录匹配。数据库的匹配记录包括一个或多个未包含在从客户端接收的目标记录中的附加字段。计算设备针对一个或多个附加字段建模数据库的匹配记录之间的关系。在一个实现中，计算设备通过相对于一个或多个附加字段对数据库的匹配记录执行逐步线性回归来执行该建模。计算设备使用该建模过程的输出，以便识别一个或多个附加字段中的哪一个对目标列表的记录与数据库的记录之间的匹配具有显着影响。

83. 发明授权

US09223497B2 In-context word prediction and word correction 有权
标题翻译：上下文字预测和字修正
公开(公告)号：US09223497B2
公开(公告)日：2015-12-29
申请号：US13422197
申请日：2012-03-16
申请人： Jerome Pasquero , Donald Somerset McKenzie , Jason Tyler Griffin
发明人： Jerome Pasquero , Donald Somerset McKenzie , Jason Tyler Griffin
IPC分类号： G06N7/02 , G06F3/0488 , G06N99/00 , G06F17/27 , G06F3/023
CPC分类号： G06F3/04886 , G06F3/0237 , G06F17/276 , G06N99/005
摘要： Methods and systems for predicting user input on a keyboard. Methods include enabling user input on a display comprising at least three fields. The first field displays an input string that is based on input selections such as keyboard entries. The second field displays a candidate prediction generated based on other input selections, consisting at least in part of a proposed completion to the input selection, and partially based on the input string in the first field. The third field displays another candidate prediction generated based on the input string in the first field as well as the candidate prediction in the second field.
摘要翻译：用于在键盘上预测用户输入的方法和系统。方法包括在包括至少三个字段的显示器上启用用户输入。第一个字段显示基于键盘条目等输入选择的输入字符串。第二场显示基于其他输入选择产生的候选预测，其至少部分地包括对输入选择的提议完成，并且部分地基于第一场中的输入字符串。第三字段显示基于第一字段中的输入字符串生成的另一候选预测以及第二字段中的候选预测。

84. 发明申请

US20150356455A1 SYSTEMS AND METHODS ASSOCIATED WITH AN AUTO-TUNING SUPPORT VECTOR MACHINE 审中-公开
标题翻译：与自动调谐支持向量机相关的系统和方法
公开(公告)号：US20150356455A1
公开(公告)日：2015-12-10
申请号：US14298282
申请日：2014-06-06
申请人： General Electric Company
发明人： Lei Wu , Weizhong Yan , Jianhui Chen , Dong Ryeol Lee
IPC分类号： G06N7/02 , G06F17/16 , G06N99/00
CPC分类号： G06K9/00979 , G06K9/6256 , G06K9/6269
摘要： Some embodiments are associated with a support vector machine having model parameters. According to some embodiments, a set of evaluation data may be received and a computer processor may automatically tune the model parameters during a training process using the set of evaluation data. The automatically tuned model parameters for the support vector machine may then be output directly from the training process.
摘要翻译：一些实施例与具有模型参数的支持向量机相关联。根据一些实施例，可以接收一组评估数据，并且计算机处理器可以在使用该组评估数据的训练过程期间自动调整模型参数。然后可以直接从训练过程输出用于支持向量机的自动调谐的模型参数。

85. 发明申请

US20150324700A1 HANDLING LIVE OCCURRENCE EVENTS WITH A RULES ENGINE 审中-公开
标题翻译：用规则发动机处理活动事件
公开(公告)号：US20150324700A1
公开(公告)日：2015-11-12
申请号：US14804999
申请日：2015-07-21
申请人： MasterCard Mobile Transactions Solutions, Inc.
发明人： Mehul Desai , Nehal Maniar
IPC分类号： G06N5/04 , G06N3/04 , G06N99/00 , G06N7/02
CPC分类号： G06Q30/0613 , G06N3/0436 , G06N5/046 , G06N7/02 , G06N20/00 , G06Q20/322 , G06Q20/36 , G06Q20/382 , G06Q30/0207 , G06Q30/0255 , G06Q30/0261 , G06Q30/0631
摘要： A method is disclosed herein in accordance with an embodiment of the present invention. The method may include deriving at a mobile transaction platform a multi-dimensional context from one or more user transactions and determining at least one life occurrence based, at least in part, on the multi-dimensional context. The one or more user transactions may be conducted through the mobile transaction platform. The one or more user transactions may be stored on a third-party source. In an aspect, the at least one life occurrence has yet to occur. In another aspect of the invention, the life occurrence has already occurred. The multi-dimensional context may include at least one of user location information and life occurrence location information. The multi-dimensional context may include at least one of a time of life occurrence and a current time.
摘要翻译：这里根据本发明的实施例公开了一种方法。该方法可以包括在移动交易平台处从一个或多个用户交易导出多维上下文，并至少部分地基于多维上下文来确定至少一个生命发生。一个或多个用户交易可以通过移动交易平台进行。一个或多个用户事务可以存储在第三方源上。在一方面，至少一个生命发生还没有发生。在本发明的另一方面，已经发生了寿命。多维上下文可以包括用户位置信息和生命发生位置信息中的至少一个。多维上下文可以包括生命发生时间和当前时间中的至少一个。

86. 发明申请

US20150310301A1 Analyzing or resolving ambiguities in an image for object or pattern recognition 有权
公开(公告)号：US20150310301A1
公开(公告)日：2015-10-29
申请号：US14746815
申请日：2015-06-22
申请人： Lotfi A. Zadeh
发明人： Lotfi A. Zadeh
IPC分类号： G06K9/46 , G06K9/52 , G06T7/00 , G06N7/02 , G06N7/00
CPC分类号： G06N99/005 , G05B13/0275 , G06F17/274 , G06F17/28 , G06F17/30985 , G06K9/4609 , G06K9/52 , G06K9/6267 , G06N5/02 , G06N5/046 , G06N5/047 , G06N7/005 , G06N7/02 , G06T7/12
摘要： Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), large number of images (“Big Data”) analytics, machine learning, training schemes, crowd-sourcing (using experts or humans), feature space, clustering, classification, similarity measures, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability (e.g., using Z-number (e.g., “About 45 minutes; Very sure”)), rules engine, control system, autonomous vehicle, self-diagnosis and self-repair robots, system diagnosis, medical diagnosis, biomedicine, data mining, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, and data compression.

87. 发明授权

US09171263B2 Content-based expertise level inferencing system and method 有权
标题翻译：基于内容的专业知识水平推理系统和方法
公开(公告)号：US09171263B2
公开(公告)日：2015-10-27
申请号：US14462788
申请日：2014-08-19
申请人： ManyWorlds, Inc.
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06 , G06N5/04 , G06Q50/00 , G06F17/30 , G06F17/28
CPC分类号： G06N5/048 , G06F17/2881 , G06F17/30528 , G06F17/30867 , G06Q50/01 , H04L51/16
摘要： A content-based expertise level inferencing system and method analyzes content such as text-based content that is associated with a user and infers an expertise level of the user that is associated with a topic. Language-based analytic techniques may be applied in inferring the expertise level, including the application of domain-specific vocabulary and frequency analyzes. The expertise level may be further inferred based on usage behaviors of the user and/or other users. Calibration information may be applied in generating the inference of the expertise level. Recommendations may be generated based on the inferred expertise level, and explanations for the recommendation and/or the inference may be generated for delivery to a recommendation recipient.
摘要翻译：基于内容的专业知识水平推理系统和方法分析诸如与用户相关联的基于文本的内容的内容，并推断与主题相关联的用户的专业水平。基于语言的分析技术可以用于推断专业知识水平，包括应用领域特定词汇和频率分析。可以基于用户和/或其他用户的使用行为进一步推断专业级别。校准信息可用于产生专业知识水平的推论。可以基于推断的专业知识水平来产生建议，并且可以生成关于推荐和/或推断的解释以便递送给推荐接收者。

88. 发明授权

US09165253B2 Method of evaluating genomic sequences 有权
标题翻译：评估基因组序列的方法
公开(公告)号：US09165253B2
公开(公告)日：2015-10-20
申请号：US14015295
申请日：2013-08-30
申请人： Real Time Genomics, Inc.
发明人： John Gerald Cleary , Barry Mark Utting
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06 , G06N5/04 , G06F19/22 , G06F19/24
CPC分类号： G06N5/048 , G06F19/22 , G06F19/24
摘要： Methods of calling genomic sequence values in complex calling regions are disclosed. Following a preliminary sequence alignment a complex calling region may be identified where no sequence values satisfy preliminary alignment criteria. Potential hypotheses may be formulated for the complex calling region and the probability of each hypothesis representing a correct alignment may be calculated by evaluating the probability of each hypothesis being correct for the reads and the probability of each hypothesis occurring. The hypothesis best satisfying hypothesis selection criteria may be selected. The method may include an evaluation of possible indels in the complex calling region.
摘要翻译：公开了在复杂呼叫区域中调用基因组序列值的方法。在初步序列比对之后，可以识别复合调用区域，其中序列值不满足初步对准标准。可以为复杂呼叫区域制定潜在假设，并且可以通过评估每个假设对于读取的概率和每个假设发生的概率来计算表示正确对齐的每个假设的概率。可以选择最佳满足假设选择标准的假设。该方法可以包括对复合呼叫区域中可能的indel的评估。

89. 发明授权

US09129212B2 Systems and methods for trend aware self-correcting entity relationship extraction 有权
标题翻译：趋势识别自我纠正实体关系提取的系统和方法
公开(公告)号：US09129212B2
公开(公告)日：2015-09-08
申请号：US14486277
申请日：2014-09-15
申请人： eBay Inc.
发明人： Ayon Sinha
IPC分类号： G06N7/02 , G06F7/00 , G06N7/00 , G06F17/30 , G06Q30/02 , G06N5/02
CPC分类号： G06N5/04 , G06F17/30867 , G06N5/02 , G06N7/005 , G06N99/005 , G06Q30/02 , G06Q30/0201 , G06Q30/0631 , G06Q50/01
摘要： Methods and systems for trend aware self-correcting entity relationship extraction are disclosed. For example, a method can include receiving a selected entity, determining a plurality of entities related to the selected entity, determining a plurality of most probable entities, calculating relevance scores, and displaying a subset of the plurality of most probable entities. The selected entity can be received on a network-based transaction system. The plurality of entities related to the selected entity can be determined based on a relationship score. The relationship score can represent navigation transitions, aggregated over time, between the selected entity and each of the plurality of entities. The plurality of most probable entities can be determined based on probabilities. Relevance scores can be calculated for each of the plurality of most probable entities. Finally, the subset of the plurality of most probable entities to be displayed can be determined according to the relevance scores.
摘要翻译：披露了趋势识别自纠正实体关系提取的方法和系统。例如，一种方法可以包括接收所选择的实体，确定与所选择的实体相关的多个实体，确定多个最可能的实体，计算相关性分数，以及显示多个最可能的实体的子集。可以在基于网络的交易系统上接收所选择的实体。可以基于关系得分来确定与所选择的实体相关的多个实体。关系分数可以表示在所选择的实体和多个实体中的每一个之间随时间聚合的导航转换。可以基于概率来确定多个最可能的实体。可以为多个最可能的实体中的每一个计算相关性分数。最后，可以根据相关性得分来确定要显示的多个最可能的实体的子集。

90. 发明授权

US09111223B2 Predicting user interactions during image processing 有权
标题翻译：在图像处理期间预测用户交互
公开(公告)号：US09111223B2
公开(公告)日：2015-08-18
申请号：US13145615
申请日：2010-01-13
申请人： Stefan Matthias Florian Schmidt , Sebastian Peter Michael Dries , Jens Von Berg
发明人： Stefan Matthias Florian Schmidt , Sebastian Peter Michael Dries , Jens Von Berg
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06 , G06N5/04 , G06K9/00 , G06N7/00 , G06N99/00
CPC分类号： G06N5/048 , G06K9/00335 , G06N7/005 , G06N99/005
摘要： The invention relates to an apparatus for processing images by means of a series of user interactions. When processing an image, the user follows a series of interactions. Preferably, this is standardized to ensure reproducibility and accuracy. However, the series of interactions required from the user may be dependent on the needs of the user, the image being processed or even on the preferences of the user. The invention provides an apparatus which can deal with complex image processing requirements, providing both a standardized series of steps, or trail, in the image visualization process, and allowing the user to deviate from this standard trail if required. This accelerates and simplifies the interaction necessary when the user performs a known task on a different image. It also provides valuable assistance when the user performs an unfamiliar task, thereby avoiding mistakes, such as incorrect radiation levels during image acquisition, which can have serious consequences in a medical imaging environment.
摘要翻译：本发明涉及一种借助于一系列用户交互来处理图像的装置。当处理图像时，用户会遵循一系列交互。优选地，这被标准化以确保重现性和准确性。然而，用户所需的一系列交互可能取决于用户的需求，正在处理的图像，甚至取决于用户的偏好。本发明提供了一种能够处理复杂图像处理要求，在图像可视化过程中同时提供标准化的一系列步骤或轨迹的装置，并且如果需要，允许用户偏离该标准轨迹。当用户在不同的图像上执行已知任务时，这加速并简化了必要的交互。当用户执行不熟悉的任务时，它还提供有价值的帮助，从而避免错误，例如在图像采集期间不正确的辐射水平，这可能在医学成像环境中产生严重的后果。

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