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公开(公告)号：US11386369B2
公开(公告)日：2022-07-12
申请号：US15850100
申请日：2017-12-21
摘要： Techniques for multi-attribute evaluation of narratives are provided. Inputs are obtained representing: (i) at least one historical dataset of events; (ii) a set of candidate narratives, wherein each candidate narrative is a potential future event sequence; and (iii) a query, wherein the query comprises one or more events of interest to a user. Attribute scores are computed for at least a subset of the candidate narratives based on at least a portion of the obtained input. One of the attribute scores comprises a plausibility attribute score representing a measure estimating the likelihood that a given candidate narrative will occur in the future. Another one of the attribute scores comprises a surprise attribute score representing a measure estimating how surprising a given candidate narrative will be to the user.
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公开(公告)号：US11263172B1
公开(公告)日：2022-03-01
申请号：US17141116
申请日：2021-01-04
发明人： Yuan-Chi Chang , Venkata Nagaraju Pavuluri , Dharmashankar Subramanian , Long Vu , Debarun Bhattacharjya , Timothy Rea Dinger
IPC分类号： G06F16/11
摘要： A method, computer program product, and/or computer system improves a future efficiency of a specific system. One or more processors receive multiple historical data snapshots that describe past operational states of a specific system. The processor(s) identify a time series pattern for the time series of data in the multiple historical snapshots and calculate their variability. The processor(s) then determine that the variability in a first sub-set of the time series pattern is larger than a predefined value, and determine that future values of the first set of the time series pattern are a set of non-forecastable future values. The processor(s) also determine that the variability in a second sub-set of the time series pattern for the data is smaller than the predefined value, and utilizes this second sub-set to modify the specific system at a current time.
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3.发明申请公开(公告)号：US20200169469A1
公开(公告)日：2020-05-28
申请号：US16199090
申请日：2018-11-23
摘要： A graphical event model method, system, and computer program product, include learning statistical and causal co-occurrence relationships among multiple event-types of data, requiring no complex input, and generating a representation that explains a mutual dynamic of the multiple event-types in a form of a graphical event model.
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公开(公告)号：US20150317646A1
公开(公告)日：2015-11-05
申请号：US14472637
申请日：2014-08-29
发明人： Debarun Bhattacharjya , Lena Granovsky , Saleem Hussain , Yingdong Lu , Irvin J. Lustig , Bonnie K. Ray , Mark S. Squillante , Xiaoting Wang
CPC分类号： G06Q30/02 , G06Q30/0201 , G06Q30/0202 , G06Q40/00
摘要： One or more processors determine a financial target for a plurality of business accounts across a plurality of product brands that are included in a business account level of an organizational hierarchy of a business organization. The organizational hierarchy includes a plurality of levels. One or more processors determine respective financial targets and quotas for a plurality of nodes included in a level of the organizational hierarchy. One or more processors determine respective financial targets for combinations of business accounts and product brands. The determination of the financial targets is based on a statistical model that is fitted at a middle level of the organizational hierarchy, and a risk-based stochastic optimization that is used to set financial targets and quotas at one or more levels of the organizational hierarchy.
摘要翻译： 一个或多个处理器确定跨越商业组织的组织层次结构的商业帐户层级中的多个产品品牌的多个商业帐户的财务目标。 组织层次结构包括多个层次。 一个或多个处理器确定包括在组织层级的级别中的多个节点的相应财务目标和配额。 一个或多个处理器确定用于商业帐户和产品品牌的组合的各自的财务目标。 财务目标的确定基于在组织层次结构的中间层次中拟合的统计模型，以及用于在组织层次结构的一个或多个层次设置财务目标和配额的基于风险的随机优化。
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公开(公告)号：US20220037020A1
公开(公告)日：2022-02-03
申请号：US16942842
申请日：2020-07-30
发明人： Debarun Bhattacharjya , Tian Gao , Nicholas Scott Mattei , Karthikeyan Shanmugam , Dharmashankar Subramanian , Kush Raj Varshney
摘要： Analyzing complex systems by receiving labeled event data describing events occurring in association with a complex system, generating a first machine learning model according to the distribution of labeled event data, receiving state variable transition data describing state variable transitions occurring in association with a complex system, training a second machine learning model according to a combination of a distribution of state variable transitions and the first machine learning model, and using the second machine learning model to predict the effects of events upon state variables within the complex system according to new state variable transition and new labeled event data.
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公开(公告)号：US09764746B2
公开(公告)日：2017-09-19
申请号：US13962310
申请日：2013-08-08
发明人： Debarun Bhattacharjya , Arun Hampapur , Qing He , Hongfei Li , Dhaivat P. Parikh
CPC分类号： B61K9/08 , B61L23/042 , B61L27/0055 , B61L27/0088 , G06F17/5009 , G06Q10/06 , G06Q10/0635
摘要： Geo-defect repair modeling is provided. A method includes logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected. The spatial dimensions include line segments of a specified length and the temporal dimensions include inspection run data for inspections performed for each of the line segments over a period of time. The method also includes creating a track deterioration model from the historical data, identifying geo-defects occurring at each inspection run from the track deterioration model, calculating a track deterioration condition from the track deterioration model by analyzing quantified changes in the geo-defects measured at each inspection run, and calculating a derailment risk based on track conditions determined from the inspection run data and the track deterioration condition. The method further includes determining a repair decision for each of the geo-defects based on the derailment risk and costs associated with previous comparable repairs.
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7.发明申请GENERATING WORK PRODUCT PLANS SPECIFYING PROPORTIONS OF CONSTITUENTS TO BE USED IN FORMING A WORK PRODUCT 有权生成工作产品计划指定用于形成工作产品的组成部分的比例公开(公告)号：US20160048126A1
公开(公告)日：2016-02-18
申请号：US14459903
申请日：2014-08-14
IPC分类号： G05B19/418 , G06N5/02
CPC分类号： G05B19/41865 , G05B2219/32082 , G06N5/02 , Y02P90/20
摘要： A method includes receiving a given work product plan specifying a set of constituents to be used in forming a given work product, each constituent having one or more properties, the given work product being associated with a given class of work products. The method also includes obtaining information associated with one or more existing work product plans for one or more existing work products in the given class from a knowledge database and selecting proportions of the set of constituents to be used in forming the given work product based at least in part on distributions of characteristics associated with types of constituents used in forming existing work products in the given class and of properties of constituents used in forming existing work products in the given class. The method further includes generating an updated work product plan for the given work product specifying the selected proportions of the set of constituents to be used in forming the given work product.
摘要翻译： 一种方法包括接收指定要用于形成给定工作产品的一组成分的给定工作产品计划，每个组成部分具有一个或多个属性，给定工作产品与给定类别的工作产品相关联。 该方法还包括从知识数据库中获得与给定类中的一个或多个现有工作产品的一个或多个现有工作产品计划相关联的信息，并且至少选择用于形成给定工作产品的成分组的比例 部分归因于与给定类别中形成现有工作产品的成分类型相关的特征分布以及用于形成给定类中现有工作产品的成分的特性。 该方法还包括为给定的工作产品生成更新的工作产品计划，该工作产品规定了用于形成给定工作产品的组件组的选定比例。
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公开(公告)号：US20160026929A1
公开(公告)日：2016-01-28
申请号：US14747513
申请日：2015-06-23
摘要： A system, method, and/or computer program product that provides a first table including a plurality of alternative choices, each alternative choice including a plurality of attributes, and analyzes the first table to identify a set of alternatives of the plurality of alternative choices. The analyzing includes identifying alternatives that are practically dominated in accordance with a probability distribution over user preferences. The system, method, and/or computer program product may also recommend an even swap based on the probability distribution over the user preferences. Next, an input is solicited by displaying the set of alternatives. In response to receiving the input responsive to the displaying, zero or more of the plurality of alternative choices are removed from the table.
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9.发明申请BAYESIAN INTERACTIVE DECISION SUPPORT FOR MULTI-ATTRIBUTE PROBLEMS WITH EVEN SWAPS 审中-公开贝叶斯交互式决策支持多个属性问题公开(公告)号：US20160026927A1
公开(公告)日：2016-01-28
申请号：US14514884
申请日：2014-10-15
摘要： A system, method, and/or computer program product that provides a first table including a plurality of alternative choices, each alternative choice including a plurality of attributes, and analyzes the first table to identify a set of alternatives of the plurality of alternative choices. The analyzing includes identifying alternatives that are practically dominated in accordance with a probability distribution over user preferences. The system, method, and/or computer program product may also recommend an even swap based on the probability distribution over the user preferences. Next, an input is solicited by displaying the set of alternatives. In response to receiving the input responsive to the displaying, zero or more of the plurality of alternative choices are removed from the table.
摘要翻译： 提供包括多个替代选择的第一表的系统，方法和/或计算机程序产品，每个替代选择包括多个属性，并且分析第一表以识别多个替代选择的一组替代。 分析包括识别根据与用户偏好相关的概率分布实际上主导的替代方案。 系统，方法和/或计算机程序产品还可以基于用户偏好上的概率分布推荐偶数交换。 接下来，通过显示一组替代方案来请求输入。 响应于响应于显示而接收到输入，多个替代选择中的零个或多个从表中移除。
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公开(公告)号：US20230196145A1
公开(公告)日：2023-06-22
申请号：US17557015
申请日：2021-12-20
摘要： A computer implemented method of modeling agent interactions, includes receiving event occurrence data. One or more parent-event types and one or more corresponding child-event types are learned from the event occurrence data. A timeline of the one or more parent-event types and one or more corresponding child-event types is modeled from the event occurrence data. Agent interactions are predicted based on an order of the parent-event types in a predetermined history window.
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