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    • 3. 发明申请
    • SYSTEM AND METHOD FOR INFERRING A NETWORK OF ASSOCIATIONS
    • 传播联盟网络的系统和方法
    • US20100005051A1
    • 2010-01-07
    • US12374762
    • 2007-07-25
    • Amit AgrawalRohit VaishampayanN/A Ashutoshi
    • Amit AgrawalRohit VaishampayanN/A Ashutoshi
    • G06N5/04
    • G06N5/022
    • A network association mining algorithm and associated methods are presented which accepts data from biological and other experiments and automatically produces a network and attempts to explain the behavior of the biological or other system underlying the data using evolutionary techniques. The model and associated methods aim to identify the inter-relationships consistent with data and other prior knowledge supplied to the system. The network is represented in terms of coupled dynamical system. These dynamical systems are represented by differential or difference equations to educe these dynamical systems and coupling between them, an evolutionary algorithm is used. The output of the linkage finder could assist scientists to better understand the systems underlying and to guess at surrogate data.
    • 提出了一种网络关联挖掘算法和相关方法,它接受来自生物学和其他实验的数据,并自动产生一个网络,并尝试使用进化技术来解释生物或其他基于数据的系统的行为。 该模型和相关方法旨在确定与提供给系统的数据和其他现有知识一致的相互关系。 网络用耦合动力系统表示。 这些动力学系统由差分方程或差分方程表示,以便对这些动力学系统进行解耦并在它们之间进行耦合,使用了进化算法。 联动查找器的输出可以帮助科学家更好地了解潜在的系统并猜测替代数据。
    • 4. 发明授权
    • System and method for inferring a network of associations
    • 用于推断关联网络的系统和方法
    • US08332347B2
    • 2012-12-11
    • US12374762
    • 2007-07-25
    • Amit AgrawalRohit VaishampayanAshutosh
    • Amit AgrawalRohit VaishampayanAshutosh
    • G06N5/00
    • G06N5/022
    • A network association mining algorithm and associated methods are presented which accepts data from biological and other experiments and automatically produces a network and attempts to explain the behavior of the biological or other system underlying the data using evolutionary techniques. The model and associated methods aim to identify the inter-relationships consistent with data and other prior knowledge supplied to the system. The network is represented in terms of coupled dynamical system. These dynamical systems are represented by differential or difference equations to educe these dynamical systems and coupling between them, an evolutionary algorithm is used. The output of the linkage finder could assist scientists to better understand the systems underlying and to guess at surrogate data.
    • 提出了一种网络关联挖掘算法和相关方法,它接受来自生物学和其他实验的数据,并自动产生一个网络,并尝试使用进化技术来解释生物或其他基于数据的系统的行为。 该模型和相关方法旨在确定与提供给系统的数据和其他现有知识一致的相互关系。 网络用耦合动力系统表示。 这些动力学系统由差分方程或差分方程表示,以便对这些动力学系统进行解耦并在它们之间进行耦合,使用了进化算法。 联动查找器的输出可以帮助科学家更好地了解潜在的系统并猜测替代数据。