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    • 11. 发明申请
    • HYBRID INTERIOR-POINT ALTERNATING DIRECTIONS ALGORITHM FOR SUPPORT VECTOR MACHINES AND FEATURE SELECTION
    • 用于支持向量机的混合内点交替方向算法和特征选择
    • US20130073489A1
    • 2013-03-21
    • US13611528
    • 2012-09-12
    • Zhiwei QinXiaocheng TangIoannis AkrotirianakisAmit Chakraborty
    • Zhiwei QinXiaocheng TangIoannis AkrotirianakisAmit Chakraborty
    • G06F15/18
    • G06N99/005
    • A method for training a classifier for selecting features in sparse data sets with high feature dimensionality includes providing a set of data items x and labels y, minimizing a functional of the data items x and associated labels y L  ( w , b , a , c , γ 1 , γ 2 ) := 1 N  ∑ i = 1 N  a i + λ 1   c  1 + λ 2 2   w  2 2 + γ 1 T  ( e - Y  ( Xw + be ) - a ) + γ 2 T  ( w - c ) + μ 1 2   e - Y  ( Xw + be ) - a  2 2 + μ 2 2   w - c  2 2 to solve for hyperplane w and offset b of a classifier by successively iteratively approximating w and b, auxiliary variables a and c, and multiplier vectors γ1 and γ2, wherein λ1, λ2, μ1, and μ2 are predetermined constants, e is a unit vector, and X and Y are respective matrix representations of the data items x and labels y; providing non-zero elements of the hyperplane vector w and corresponding components of X and Y as arguments to an interior point method solver to solve for hyperplane vector w and offset b, wherein w and b define a classifier than can associate each data item x with the correct label y.
    • 用于训练用于在具有高特征维度的稀疏数据集中选择特征的分类器的方法包括提供一组数据项x和标号y,使数据项x和相关标签y L(w,b,a, c,γ1,γ2):= 1NΣΣi = 1 N a a +λ11 +λ2 22 2 +γ1 T(e-Y + be) - a)+γ2 T(w-c)+μ1 2e - Y(Xw + be) - a2 2 +μ2 22 2求解 对于分类器的超平面w和偏移量b,通过连续迭代地近似w和b,辅助变量a和c以及乘数向量γ1和γ2,其中λ1,λ2,μ1和μ2是预定常数,e是单位矢量, X和Y是数据项x和标签y的相应矩阵表示; 提供超平面矢量w的非零元素和X和Y的对应分量作为内点方法求解器的参数来求解超平面矢量w和偏移b,其中w和b定义分类器,可以将每个数据项x与 正确的标签y。
    • 12. 发明授权
    • Maintenance event planning and scheduling for gas turbines
    • 燃气轮机的维护事件规划和调度
    • US07930198B2
    • 2011-04-19
    • US11232774
    • 2005-09-22
    • Watao YinAmit Chakraborty
    • Watao YinAmit Chakraborty
    • G06Q10/00
    • G06Q10/06G06Q10/0631
    • A method for scheduling a project such as the inspection and maintenance of a gas turbine utilizes a branch and bound technique for arriving at a solution. The branch and bound technique is improved by using an all-pair longest path algorithm in preprocessing to tighten the set of possible start times of the tasks. That set is further tightened by considering two-forbidden-task pairs; i.e., pairs of tasks that cannot execute at the same time due to conflicting resource needs. A hard lower bound of a branch is determined by using all-pair longest path update and two-forbidden-task pair update, reducing the need to recalculate.
    • 用于调度诸如燃气轮机的检查和维护的项目的方法利用分支和绑定技术来达成解决方案。 通过在预处理中使用全对最长路径算法来加紧任务的可能开始时间集,改进了分支和绑定技术。 考虑到两个禁止任务对,进一步加强了这一套; 即由于资源需求冲突而无法同时执行的任务对。 通过使用全对最长路径更新和双重禁止任务对更新来确定分支的硬下限,从而减少了重新计算的需要。
    • 17. 发明申请
    • Method of hybrid searching for extensible markup language (XML) documents
    • 混合搜索可扩展标记语言(XML)文档的方法
    • US20050131926A1
    • 2005-06-16
    • US10732030
    • 2003-12-10
    • Amit ChakrabortySudarshan Sampath
    • Amit ChakrabortySudarshan Sampath
    • G06F17/00G06F17/30
    • G06F16/86
    • A method of generating a searchable database system for storing and querying Extensible Markup Language (XML) documents is disclosed. A Document Type Description (DTD) associated with one or more XML documents is analyzed to determine a scope of XML documents defined by the DTD. A first set of elements associated with the DTD is identified. The first set of elements is mapped to a relational database. A second set of elements associated with the DTD to be stored in an XML database is identified. A collection of classes is created such that each class defines an object schema. The classes are mapped to a set of corresponding tables, and foreign and primary keys associated with the corresponding tables are identified.
    • 公开了一种生成用于存储和查询可扩展标记语言(XML)文档的可搜索数据库系统的方法。 分析与一个或多个XML文档相关联的文档类型描述(DTD),以确定DTD定义的XML文档的范围。 识别与DTD相关联的第一组元素。 第一组元素被映射到关系数据库。 识别与要存储在XML数据库中的DTD相关联的第二组元素。 创建一个类的集合,使得每个类定义一个对象模式。 这些类被映射到一组对应的表,并且识别与相应表相关联的外键和主键。