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1. 发明公开

US20240005205A1 Iterative Attention-based Neural Network Training and Processing 审中-公开
公开(公告)号：US20240005205A1
公开(公告)日：2024-01-04
申请号：US18101612
申请日：2023-01-26
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06N20/00 , G06N5/048 , G06F40/30 , G06F40/211 , G06F40/216
CPC分类号： G06N20/00 , G06N5/048 , G06F40/30 , G06F40/211 , G06F40/216 , G06N3/02
摘要： An iterative attention-based neural network training and processing method and system iteratively applies a focus of attention of a trained neural network on syntactical elements and generates probabilities associated with representations of the syntactical elements, which in turn inform a subsequent focus of attention of the neural network, resulting in updated probabilities. The updated probabilities are then applied to generate syntactical elements for delivery to a user. The user may respond to the delivered syntactical elements, providing additional training information to the trained neural network.

2. 发明公开

US20230146960A1 Temporally Sequenced Content Recommender Method and System 审中-公开
公开(公告)号：US20230146960A1
公开(公告)日：2023-05-11
申请号：US18083082
申请日：2022-12-16
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06N5/048 , G06F16/9535 , G06F16/2457 , G06Q50/00 , H04L51/216
CPC分类号： G06N5/048 , G06F16/9535 , G06F16/24575 , G06Q50/01 , H04L51/216 , G06F40/56
摘要： A temporally sequenced content recommender method and system generates a first vector of affinities from usage information comprising durations of users' attention toward temporally sequenced content. A second vector of affinities is generated by applying a computer-implemented neural network to content objects. The similarity of the vectors of affinities is determined, which informs the generation of recommendations that are delivered to a user. Beneficial serendipity may be incorporated within the generation of the recommendations by, for example, evaluating contrasting affinities in user affinity vectors, by evaluating levels of available behavioral information for users, or by applying randomized or probabilistic methods. Explanations for the recommendations may be provided to users that include inferred user preferences.

3. 发明授权

US10783464B2 Method and device for temporally sequenced adaptive recommendations of activities 有权
公开(公告)号：US10783464B2
公开(公告)日：2020-09-22
申请号：US13315198
申请日：2011-12-08
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06Q10/06 , G06Q30/02 , G06Q30/06 , G06F16/60
摘要： A method and device for temporally sequenced recommendations of activities delivers to users temporally sequenced objects comprising user activities, wherein the delivered objects are selected based, at least in part, on inferences of preferences from usage behaviors. The delivered objects may include activities associated with processor-based devices in addition to human activities. Variations of the system and method include delivering the temporally sequenced objects in accordance with the contents of the objects and user feedback with regard to the objects. Information as to why objects were delivered to users may be provided to the users.

4. 发明申请

US20190325358A1 Inferential-based Physical Object Arrangement Method and System 审中-公开
公开(公告)号：US20190325358A1
公开(公告)日：2019-10-24
申请号：US16438009
申请日：2019-06-11
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06Q10/06 , G06Q30/06 , G06Q30/02
摘要： An inferential-based physical object arrangement method and system infers user preferences from user behaviors and automatically selects computer-implemented objects that represent physical objects based upon the inferred preferences. A media instance is generated for delivery to a user that comprises spatially arranged representations of a selected computer-implemented object and representations of other physical objects that are accessed from a digital map. Computer-implemented neural networks may be applied to infer user preferences by interpreting pictorial-based information and/or to interpret from pictorial-based information the physical objects that are included in the media instances. Natural language-based explanations comprising the reasoning for the delivery of a media instance to a user may be delivered to the user.

5. 发明申请

US20180232670A1 Inferential People Recommender Method and System 审中-公开
公开(公告)号：US20180232670A1
公开(公告)日：2018-08-16
申请号：US15947580
申请日：2018-04-06
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06Q10/06 , G06Q30/06 , G06Q30/02
CPC分类号： G06Q10/06 , G06Q10/0631 , G06Q10/0633 , G06Q30/0206 , G06Q30/0269 , G06Q30/0631
摘要： An inferential people recommender method and system infers the preferences of users from usage behaviors and generates recommendations of people based upon the matching of the inferred preferences. Natural language-based explanations that provide the reasoning that is applied in making the recommendations are also provided. The inferences of preferences may be determined by inference weightings that are in accordance with behavioral-based priority rules. The inferences may be further based on factors such as proximity, and duration of proximity, of people to physical objects, including other people.

6. 发明申请

US20180225599A1 Method and System for Adaptive Self-Propelled Vehicles 审中-公开
公开(公告)号：US20180225599A1
公开(公告)日：2018-08-09
申请号：US15942465
申请日：2018-03-31
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06Q10/06 , G06Q30/06 , G06Q30/02
CPC分类号： G06Q10/06 , G06Q10/0631 , G06Q10/0633 , G06Q30/0206 , G06Q30/0269 , G06Q30/0631
摘要： A method and system for self-propelled vehicles infers mobility aspects, such as speed and direction, of physical objects represented in digital maps. The physical objects may be further interpreted from pictorial-based information through the application of computer-implemented neural networks. Information is delivered to adaptive systems embodied within self-propelled vehicles that is based upon the mobility inferences and the interpretations from the pictorial information. Explanations for the delivered information comprising the system's reasoning and/or references to mobility inferences may also be delivered.

7. 发明申请

US20150095278A1 Adaptive Probabilistic Semantic System and Method 审中-公开
标题翻译：自适应概率语义系统和方法
公开(公告)号：US20150095278A1
公开(公告)日：2015-04-02
申请号：US14497645
申请日：2014-09-26
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06N7/00 , G06N5/04
CPC分类号： G06N7/005 , G06F17/2785
摘要： An adaptive probabilistic semantic computer-implemented system and method links semantic chains comprising subject, predicate, and object triples and an associated probability with behavioral-based chains comprising a system user, predicate, and object triples, and infers user preferences based on the linked chains. Recommendations are generated for delivery to system users based on the preference inferences. Explanations may be provided to recommendation recipients as to why they received recommendations, and the explanations may convey a sense of confidence in accordance with probabilistic semantic associations.
摘要翻译：自适应概率语义计算机实现的系统和方法将包含主题，谓词和对象三元组的语义链和包括系统用户，谓词和对象三元组的基于行为的链的相关概率链接起来，并且基于链接链来推断用户偏好。根据偏好推论生成推荐给系统用户。可以向推荐人提供关于为什么他们收到建议的解释，并且解释可以根据概率语义关联传达信心。

8. 再颁专利

USRE44968E1 Adaptive self-modifying and recombinant systems 有权
标题翻译：自适应自我修复和重组系统
公开(公告)号：USRE44968E1
公开(公告)日：2014-06-24
申请号：US13284375
申请日：2011-10-28
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06F15/18
摘要： An adaptive self-modifying system, a recombinant fuzzy network system, and an adaptive recombinant system are disclosed. The adaptive self-modifying system includes functions and algorithms for the self modification of structural elements, including relationships among system objects of the adaptive self-modifying system, based at least in part on usage behaviors associated with the system. The recombinant and adaptive recombinant systems feature functions for syndicating and combining fuzzy networks. The combining of the structural elements of the adaptive recombinant system may be based, at least in part, on usage behaviors associated with the system, and may be preferentially recombined based on evaluations of network “fitness.”
摘要翻译：公开了一种自适应自我修改系统，重组模糊网络系统和自适应重组系统。自适应自修改系统包括至少部分地基于与系统相关联的使用行为的结构元件的自身修改的功能和算法，包括自适应自修改系统的系统对象之间的关系。重组和自适应重组系统具有聚合和组合模糊网络的功能。自适应重组系统的结构元件的组合可以至少部分地基于与系统相关联的使用行为，并且可以基于网络“适应度”的评估来优先重组。

9. 发明授权

US08694457B2 Adaptive expertise clustering system and method 有权
标题翻译：自适应专业知识聚类系统和方法
公开(公告)号：US08694457B2
公开(公告)日：2014-04-08
申请号：US13268145
申请日：2011-10-07
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06F17/00
CPC分类号： G06N5/048 , G06F17/2881 , G06F17/30864 , G06K7/10366 , G06K7/10475 , G06N5/04 , G06N7/02 , G06N99/005 , G06Q30/0631 , G06Q50/01
摘要： A computer-implemented adaptive expertise clustering system and method generates expertise cohorts based on inferences from behavioral information and applies the expertise cohorts in generating recommendations for delivery to users. The expertise clustering may be informed by the evaluation of the contents of computer-implemented objects. Behaviors associated with members of specific expertise cohorts after specific events may inform the recommendations. Recommendations may comprise, for example, other users or process steps. Explanations for the recommendations may be provided to recommendation recipients.
摘要翻译：计算机实现的自适应专业知识聚类系统和方法基于行为信息的推论产生专门知识队列，并将专业知识群组应用于生成用于递送给用户的建议。通过评估计算机实现的对象的内容可以通知专业知识聚类。与特定专门人员有关的行为可能会在具体事件之后组织提供建议。建议可以包括例如其他用户或处理步骤。可向推荐人提供有关建议的解释。

10. 发明授权

US08694442B2 Contextually integrated learning layer 有权
标题翻译：上下文整合学习层
公开(公告)号：US08694442B2
公开(公告)日：2014-04-08
申请号：US13267997
申请日：2011-10-07
申请人： Steven Dennis Flinn , Naomi Felina Moneypenny
发明人： Steven Dennis Flinn , Naomi Felina Moneypenny
IPC分类号： G06F15/18 , G06N3/08 , G06N7/02 , G06K7/10
CPC分类号： G06N5/048 , G06F17/2881 , G06F17/30864 , G06K7/10366 , G06K7/10475 , G06N5/04 , G06N7/02 , G06N99/005 , G06Q30/0631 , G06Q50/01
摘要： A computer-implemented transforming function contextually transforms multiple originating computer-implemented structures into a composite fuzzy network-based structure. The composite fuzzy network-based structure serves as a contextual basis for recommendations. The recommendations may be generated in accordance with inferences of preferences and interests based on usage behaviors. The recommendations may further be generated in accordance with a network neighborhood within the composite fuzzy network-based structure that is based, at least in part, on a navigational context within an originating structure and a user-established navigational neighborhood scope.
摘要翻译：计算机实现的变换函数将多个发起的计算机实现的结构上下文地转换成基于复合模糊网络的结构。复合模糊网络结构作为建议的背景基础。这些建议可以根据使用行为的偏好和兴趣推论来生成。该建议可以进一步根据基于复合模糊网络的结构内的网络邻域来产生，该结构至少部分地基于起始结构和用户建立的导航邻域范围内的导航上下文。

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