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US08341097B2 Systems, methods and circuits for learning of relation-based networks 失效
标题翻译：用于学习基于关系的网络的系统，方法和电路
公开(公告)号：US08341097B2
公开(公告)日：2012-12-25
申请号：US12696317
申请日：2010-01-29
申请人： Teresa H. Meng , Wing H. Wong , Narges Asadi Bani
发明人： Teresa H. Meng , Wing H. Wong , Narges Asadi Bani
IPC分类号： G06F15/18
CPC分类号： G06N7/005
摘要： Circuits, devices and methods for processing learning networks are implemented using a variety of methods and devices. One example involves a circuit-implemented method to identify a relationship of objects in a set of objects. Local scores are generated for the object and possible parents. The local scores indicate relationship strength between object and parent. The results are stored in a memory. A state-machine circuit is used to perform sampling and searching of the parent sets for each data node. The local scores are used to encode orderings of the parent. An algorithm is executed that uses the encoded possible orderings and a random variable to generate and score a current order and a proposed order of the possible parent sets. The proposed orders are accepted or rejected based on probability rules applied to the scores for the current and proposed orders. Structures are sampled to assess a Bayesian-based relationship.
摘要翻译：用于处理学习网络的电路，设备和方法使用各种方法和设备来实现。一个例子涉及电路实现的方法来识别一组对象中的对象的关系。为对象和可能的父母生成本地分数。当地分数表示对象和父母之间的关系强度。结果存储在内存中。状态机电路用于对每个数据节点的父集进行采样和搜索。本地分数用于编码父母的排序。执行使用编码的可能排序的算法和随机变量来生成和评分当前顺序和可能的父集合的建议顺序。建议的订单根据适用于当前和拟议订单的分数的概率规则被接受或拒绝。对结构进行抽样以评估基于贝叶斯的关系。

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