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101. 发明授权

US08781989B2 Method and system to predict a data value 有权
标题翻译：方法和系统来预测数据值
公开(公告)号：US08781989B2
公开(公告)日：2014-07-15
申请号：US12987147
申请日：2011-01-09
申请人： Andrew P. Duchon
发明人： Andrew P. Duchon
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06F17/30705
摘要： Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated.
摘要翻译：本发明的实施例包括用于预测出现在诸如文本的一组数据中的主题的可能性的方法和系统。许多潜变量方法用于将数据转换为一组主题，主题值和主题概要文件。许多时间过程的方法被用于建模主题价值如何改变给定的上一个主题概况，或者找到具有相似主题价值的历史时间，然后从该历史时间向前投影主题概要，以预测主题出现的可能性。实施例包括利用焦点主题，例如价格主题和代表财务措施的数据来预测主题的可能性。也可以考虑用于建模数据和预测主题在其他维度上的可能性的方法和系统。

102. 发明申请

US20140122401A1 System and Method for Combining Segmentation Data 有权
标题翻译：用于组合分割数据的系统和方法
公开(公告)号：US20140122401A1
公开(公告)日：2014-05-01
申请号：US13662803
申请日：2012-10-29
申请人： SAS INSTITUTE INC.
发明人： Randall S. Collica
IPC分类号： G06N3/02 , G06N7/02
CPC分类号： G06N3/088 , G06N7/005
摘要： Systems and methods are provided for combining multiple segmentations into a single unique segmentation that contains attributes of the original segmentations. This new segmentation forms an ensemble or combination segmentation that has a unique set of attributes from the original segmentations without enumerating every possible set of combinations. In one example, two or more segments are combined into a single segmentation using a technique such as k-means clustering or Self-Organizing Map Neural Networks. After the first combination phase is performed, a Bayesian technique is then applied in a second phase to adjust or further alter the ensemble combination of segments.
摘要翻译：提供了系统和方法，用于将多个分段组合成包含原始分段的属性的单个唯一分段。这种新的分割形成一个集合或组合分割，它具有来自原始分段的一组唯一的属性，而不用列举每一组可能的组合。在一个示例中，使用诸如k-means聚类或自组织图神经网络的技术将两个或更多个片段组合成单个分割。在执行第一组合阶段之后，然后将贝叶斯技术应用于第二阶段以调整或进一步改变段的组合组合。

103. 发明授权

US08676741B2 Dynamic heuristic web page caching based on the user's recent page visits 有权
标题翻译：基于用户最近访问页面的动态启发式网页缓存
公开(公告)号：US08676741B2
公开(公告)日：2014-03-18
申请号：US13162040
申请日：2011-06-16
申请人： John Ulinski , Manish Dixit
发明人： John Ulinski , Manish Dixit
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06F17/30861 , G06F17/30902
摘要： In accordance with aspects of the present disclosure, a method, product, apparatus and system is disclosed. The method includes monitoring, by a processor, a predetermined number of web pages viewed by a user; determining a likelihood that the user is interested in a related web page based on previously viewed web pages; comparing the determined likelihood against a predetermined threshold value; and preloading the related web page for viewing by the user if the determined likelihood is greater than the predetermined threshold value.
摘要翻译：根据本公开的方面，公开了一种方法，产品，装置和系统。该方法包括由处理器监视由用户观看的预定数量的网页; 基于先前查看的网页确定用户对相关网页感兴趣的可能性; 将确定的可能性与预定阈值进行比较; 并且如果所确定的似然度大于预定阈值，则预加载用于用户观看的相关网页。

104. 发明申请

US20140074768A1 METHODS AND SYSTEMS FOR A TRACK OF AN OBJECT IN A MULTI-DIMENSIONAL SPACE 有权
标题翻译：用于多维空间中的对象跟踪的方法和系统
公开(公告)号：US20140074768A1
公开(公告)日：2014-03-13
申请号：US13612375
申请日：2012-09-12
申请人： Joshua T. Horwood
发明人： Joshua T. Horwood
IPC分类号： G06N7/02
CPC分类号： G06N7/02 , B64G3/00
摘要： Embodiments of the present invention characterizing the uncertainty of the orbital state of an Earth-orbiting space object hereof using a Gauss von Mises probability density function defined on the n+1 dimensional cylindrical manifold n×. Additionally, embodiments of the present invention can include transforming a Gauss von Mises distribution under a diffeomorphism and approximating the output as a Gauss von Mises distribution. Embodiments of the present invention can also include fusing a prior state represented by a Gauss von Mises distribution with an update report, wherein the update can be either another Gauss von Mises distribution of the same dimension as the prior or an observation related to the prior by a stochastic measurement model. A Gauss von Mises distribution can be calculated from a plurality of reports, wherein the reports are either Gauss von Mises distributions or observations related to the state space by a stochastic measurement model.
摘要翻译：本发明的实施例使用在n + 1维圆柱形歧管n×上定义的高斯冯·米塞斯概率密度函数来表征本地轨道空间物体的轨道状态的不确定性。另外，本发明的实施例可以包括在差异变换下变换高斯冯米塞斯分布，并将输出近似为高斯冯米塞斯分布。本发明的实施例还可以包括将由Gauss von Mises分布表示的先前状态与更新报告进行融合，其中更新可以是与之前相关的另一个高斯冯米塞斯分布或与先前相关的观察随机测量模型。高斯冯米塞斯分布可以从多个报告中计算，其中报告是高斯冯米塞斯分布或随机测量模型与状态空间相关的观测值。

105. 发明申请

US20140058711A1 PREDICTIVE PARKING 审中-公开
标题翻译：预计停车
公开(公告)号：US20140058711A1
公开(公告)日：2014-02-27
申请号：US13591665
申请日：2012-08-22
申请人： Christopher L. Scofield
发明人： Christopher L. Scofield
IPC分类号： G06N7/02 , G06G7/48
CPC分类号： G06Q10/04 , G08G1/0112 , G08G1/0116 , G08G1/0129 , G08G1/0141 , G08G1/143 , G08G1/144 , G08G1/146 , G08G1/147
摘要： Among other things, one or more techniques and/or systems are provided for predicting a state of a parking location (e.g., occupied or vacant). A correlation between modeling variables (e.g., weather, proximity to a location, a calendar of events, sensor data, etc.) and a possible state of the parking location may be modeled. The state of a parking location may then be predicted using the model and current values for one or more variables (e.g., used to develop the model). In one embodiment, representations of one or more parking locations may be displayed on a map and may be marked with indicators (e.g., colors) that indicate a likelihood of the respective parking locations having parking availability, or the number of parking spots that are available (e.g., where a parking location may be a parking garage having multiple parking spots), (e.g., yellow indicating low parking availability, green indicating substantial parking availability).
摘要翻译：除其他之外，提供一个或多个技术和/或系统用于预测停车位置的状态（例如，占用或空置）。建模变量（例如天气，位置接近度，事件日历，传感器数据等）与停车位置的可能状态之间的相关性可以被建模。然后可以使用一个或多个变量（例如，用于开发模型）的模型和当前值来预测停车位置的状态。在一个实施例中，可以在地图上显示一个或多个停车位置的表示，并且可以用指示器（例如，颜色）来标记各个停车位置具有停车可用性的可能性，或者可用的停车位数量（例如，停车位置可以是具有多个停车位的停车库）（例如，黄色表示低停车位可用性，绿色表示大量停车可用性）。

106. 发明授权

US08620851B2 System and method for determining fuzzy cause and effect relationships in an intelligent workload management system 失效
标题翻译：在智能工作负载管理系统中确定模糊因果关系的系统和方法
公开(公告)号：US08620851B2
公开(公告)日：2013-12-31
申请号：US12952314
申请日：2010-11-23
申请人： Jeremy Brown , Jason Allen Sabin , Nathaniel Brent Kranendonk , Kal A. Larsen , Lloyd Leon Burch , Michael Fairbanks , Michael Jorgensen , Thomas Larry Biggs
发明人： Jeremy Brown , Jason Allen Sabin , Nathaniel Brent Kranendonk , Kal A. Larsen , Lloyd Leon Burch , Michael Fairbanks , Michael Jorgensen , Thomas Larry Biggs
IPC分类号： G06N5/02 , G06N7/02
CPC分类号： G06N7/02 , G06N5/048 , G06Q10/0633
摘要： The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified. As such, fuzzy logic may the be applied to any such patterns to determine possible relationships among the potential causes and the potential effects associated with the infrastructure operational state.
摘要翻译：用于确定本文描述的智能工作负载管理系统中的模糊因果关系的系统和方法可以将从与信息技术基础设施相关联的各种不同来源捕获的潜在原因和效果与基本上即时的反馈机制和其他知识源组合。因此，然后可以将模糊相关逻辑应用于组合信息以确定潜在的因果关系，从而诊断问题并以其他方式管理基础设施中发生的交互。例如，可以捕获和组合描述与基础设施的操作状态相关联的潜在原因和潜在效果的信息，并且然后可以识别描述多个潜在原因和效果的信息中的任何模式。因此，模糊逻辑可以应用于任何这样的模式，以确定潜在原因与与基础设施操作状态相关联的潜在效应之间的可能关系。

107. 发明授权

US08589330B2 Predicting or recommending a users future location based on crowd data 有权
标题翻译：根据人群数据预测或推荐用户未来位置
公开(公告)号：US08589330B2
公开(公告)日：2013-11-19
申请号：US12716314
申请日：2010-03-03
申请人： Steven L. Petersen , Christopher M. Amidon
发明人： Steven L. Petersen , Christopher M. Amidon
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G01C21/34 , G01C21/00 , G06N5/04 , G06Q30/0282 , H04W4/02 , H04W4/029 , H04W12/02
摘要： A system and method for predicting a future location of a user are provided. In general, a prediction basis including crowd data describing crowds in which a user was included during a number of reoccurring time windows is generated. Each reoccurring time window may be, for example, a day of the week (i.e., Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, or Sunday), a portion of a day of the week (e.g., Monday Morning, Monday Afternoon, Monday Evening, Tuesday Evening, etc.), a day of the month (e.g., 1st day of the month), a day of the year (e.g., March 25th), or the like. The prediction basis of the user is then used to predict one or more future locations of the user.
摘要翻译：提供了一种用于预测用户未来位置的系统和方法。通常，生成包括人群数据的预测基准，描述在多次重现时间窗口期间包括用户的人群。每个重复出现的时间窗口可以是例如一周中的一天（即星期一，星期二，星期三，星期四，星期五，星期六或星期日），一周中的某一天的一部分（例如，星期一上午，星期一下午，星期一晚上，星期二晚上等），一个月的一天（例如，每月的第一天），一年的一天（例如3月25日）等。然后用户的预测基础用于预测用户的一个或多个未来位置。

108. 发明授权

US08583583B1 Cyber auto tactics techniques and procedures multiple hypothesis engine 有权
标题翻译：网络自动战术技巧和程序多重假设引擎
公开(公告)号：US08583583B1
公开(公告)日：2013-11-12
申请号：US12807901
申请日：2010-09-16
申请人： Gregory L. Stachnick , Thomas C. Fall , David A. Cameron
发明人： Gregory L. Stachnick , Thomas C. Fall , David A. Cameron
IPC分类号： G06N7/02
CPC分类号： G06F21/577 , G06F2221/2145 , G06N7/005 , H04L63/1425 , H04L63/1433
摘要： Disclosed is an exemplary multiple hypothesis engine that provides situation assessment capabilities regarding cyber auto tactics techniques and procedures. Dynamic cyber adversarial operations are evaluated via a combination of techniques using a Bayesian multiple hypothesis tree, or graph, as a framework. A top-down probability propagation mechanism solves different aspects of the problem in a round-robin fashion. The top-down probability propagation mechanism comprises the Hypothesis Refinement Engine. A model-based abductive reasoner comprising The Hypothesis Validator is used to confirm or refute the refined hypothesis. A model-based learning engine comprising Behavior Model Trainer is used to incrementally augment the knowledge base of behavior models as new adversarial TTPs are discovered. These three techniques behave in a cooperative manner by operating upon the Bayesian multiple hypothesis tree framework.
摘要翻译：公开了一种示例性的多重假设引擎，其提供关于网络自动战术技术和程序的情况评估能力。通过使用贝叶斯多重假设树或图形作为框架的技术的组合来评估动态网络对抗操作。自上而下的概率传播机制以循环方式解决了问题的不同方面。自顶向下概率传播机制包括假设细化引擎。包含假设验证器的基于模型的诱导推理器用于确认或反驳精细假说。包括行为模型训练器在内的基于模型的学习引擎用于在发现新的对抗性TTP时逐步增加行为模型的知识库。这三种技术通过对贝叶斯多重假设树框架进行操作而以协作的方式进行。

109. 发明申请

US20130246330A1 CLINICAL DIAGNOSIS SUPPORT METHOD AND SYSTEM BASED ON HIERARCHICAL FUZZY INFERENCE TECHNOLOGY 有权
标题翻译：临床诊断支持方法和系统基于分层模糊感知技术
公开(公告)号：US20130246330A1
公开(公告)日：2013-09-19
申请号：US13988346
申请日：2011-08-01
申请人： Chang Sik Son , Yoon Nyun Kim , Hee Joon Park , Suk Tae Seo , Min Soo Kim
发明人： Chang Sik Son , Yoon Nyun Kim , Hee Joon Park , Suk Tae Seo , Min Soo Kim
IPC分类号： G06N7/02
CPC分类号： G06N7/02 , G06F19/00 , G06N5/048 , G06Q50/22 , G16H50/20
摘要： Disclosed is a clinical diagnosis supporting method and system based on hierarchical fuzzy inference. The clinical diagnosis supporting method includes the steps of: (a) extracting check data of a plurality of check items for each of a plurality of patients from a respective check item database; (b) selecting a characteristic from the check data of each of the check items; (c) hierarchical fuzzy-inferring the check data from which the characteristic is selected, for each check item; (d) extracting a check opinion for each disease based on an output value of the fuzzy inference for each check item; and (e) making a synthetic clinical estimation based on the extracted check opinion.
摘要翻译：公开了一种基于分层模糊推理的临床诊断支持方法和系统。临床诊断支持方法包括以下步骤：（a）从相应的检查项数据库提取多个患者中的每一个的多个检查项目的检查数据; （b）从每个检查项目的检查数据中选择特征; （c）对于每个检查项目，分级模糊 - 推断出选择特征的检查数据; （d）基于每个检查项目的模糊推理的输出值来提取每种疾病的检查意见; 和（e）基于提取的检查意见进行综合临床估计。

110. 发明申请

US20130246329A1 IN-CONTEXT WORD PREDICTION AND WORD CORRECTION 有权
标题翻译： IN-CONTEXT WORD PRESSICTION AND WORD CORRECTION
公开(公告)号：US20130246329A1
公开(公告)日：2013-09-19
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
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，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。

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