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    • 9. 发明授权
    • Generalized belief propagation for probabilistic systems
    • 概率系统的广义信念传播
    • US06910000B1
    • 2005-06-21
    • US09586282
    • 2000-06-02
    • Jonathan S. YedidiaWilliam T. Freeman
    • Jonathan S. YedidiaWilliam T. Freeman
    • G06F19/00G06F17/10G06F17/18
    • G06F17/10
    • A method determines approximate probabilities of states of a system represented by a model. The model includes nodes connected by links. Each node represents possible states of a corresponding part of the system, and each link represents statistical dependencies between possible states of related nodes. The nodes are grouped into arbitrary sized clusters such that every node is included in at least one cluster and each link is completely contained in at least one cluster. Messages, based on the arbitrary sized cluster, are defined. Each message has associated sets of source nodes and destination nodes, and a value and a rule depending on other messages and on selected links connecting the source nodes and destination nodes. The value of each message is updated until a termination condition is reached. When the termination condition is reached, approximate probabilities of the states of the system are determined from the values of the messages.
    • 一种方法确定由模型表示的系统的状态的近似概率。 该模型包括通过链接连接的节点。 每个节点表示系统的对应部分的可能状态,并且每个链路表示相关节点的可能状态之间的统计依赖性。 节点被分组成任意大小的集群,使得每个节点被包括在至少一个集群中,并且每个链路完全包含在至少一个集群中。 定义了基于任意大小的集群的消息。 每个消息具有关联的源节点和目的节点集合,以及取决于其他消息的值和规则,以及连接源节点和目的节点的选定链路。 每个消息的值被更新,直到达到终止条件。 当达到终止条件时,根据消息的值确定系统的状态的近似概率。