Parallel Development and Deployment for Machine Learning Models
    1.
    发明申请
    Parallel Development and Deployment for Machine Learning Models 审中-公开
    机器学习模型的并行开发与部署

    公开(公告)号:US20160162800A1

    公开(公告)日:2016-06-09

    申请号:US14560484

    申请日:2014-12-04

    Abstract: Example systems and methods of developing a learning model are presented. In one example, a sample data set to train a first learning algorithm is accessed. A number of states for each input of the sample data set is determined A subset of the inputs is selected, and the sample data set is partitioned into a number of partitions equal to a combined number of states of the selected inputs. A second learning algorithm is created for each of the partitions, wherein each second learning algorithm receives the unselected inputs. Each of the second learning algorithms is assigned to a processor and trained using the samples of the partition corresponding to that algorithm. Decision logic is generated to direct each of a plurality of operational data units as input to one of the second learning algorithms based on states of the selected inputs of the operational data unit.

    Abstract translation: 介绍了开发学习模型的示例系统和方法。 在一个示例中,访问用于训练第一学习算法的样本数据集。 确定样本数据集合的每个输入的多个状态被选择输入的子集,并且样本数据集被划分成等于所选输入的组合状态数的多个分区。 为每个分区创建第二学习算法,其中每个第二学习算法接收未选择的输入。 将每个第二学习算法分配给处理器并使用与该算法相对应的分区的样本进行训练。 生成决定逻辑,以基于所选择的操作数据单元的输入的状态将多个操作数据单元中的每一个作为第二学习算法之一进行输入。

    Automated Selection of Filter Parameters for Seismic Analysis
    2.
    发明申请
    Automated Selection of Filter Parameters for Seismic Analysis 有权
    自动选择地震分析滤波参数

    公开(公告)号:US20150254812A1

    公开(公告)日:2015-09-10

    申请号:US14196755

    申请日:2014-03-04

    Abstract: A filter selection technique is described for automatically selecting filters and filter parameters to apply to a given input data. The technique first receives input data and accesses a library storing information from previously analyzed data. The technique selects an entry from the library where the entry contains data that is correlated with the input data. The technique then applies a filter to the input data. The filter and filter parameters are determined by the selected entry.

    Abstract translation: 描述了一种滤波器选择技术,用于自动选择滤波器和滤波器参数以应用于给定的输入数据。 该技术首先接收输入数据并访问从先前分析的数据存储信息的库。 该技术从库中选择一个条目,其中条目包含与输入数据相关的数据。 然后,该技术将过滤器应用于输入数据。 过滤器和过滤器参数由所选条目确定。

    ACCELERATED SEARCHING OF SUBSTRINGS
    3.
    发明申请
    ACCELERATED SEARCHING OF SUBSTRINGS 有权
    加速搜索的子标题

    公开(公告)号:US20130339339A1

    公开(公告)日:2013-12-19

    申请号:US13525160

    申请日:2012-06-15

    CPC classification number: G06F17/30327 G06F17/30451

    Abstract: Accelerated sub-string searches on large data sets can be performed using filtering processes that can improve or optimize run time performance. A first filtering process can include partitioning a binary tree into sections to enable an exact search to replace a substring search for part of the binary tree and for part of the binary tree to be potentially excluded from substring searching. A second filtering process can include comparing count representations of entries in the binary tree and of a received input string to potentially further exclude entries from substring searching.

    Abstract translation: 可以使用可以提高或优化运行时性能的过滤过程来执行对大型数据集的加速子字符串搜索。 第一个过滤过程可以包括将二进制树划分为多个部分,以便能够精确搜索替换二叉树的一部分的子字符串搜索,以及二进制树的一部分可能被排除在子串搜索之外。 第二滤波处理可以包括比较二叉树中的条目和接收到的输入字符串的计数表示,以潜在地进一步从子串搜索中排除条目。

    Comparative performance modeling for distributed object oriented
applications
    4.
    发明授权
    Comparative performance modeling for distributed object oriented applications 失效
    分布式面向对象应用程序的比较性能建模

    公开(公告)号:US5881268A

    公开(公告)日:1999-03-09

    申请号:US723180

    申请日:1996-09-30

    CPC classification number: G05B17/02

    Abstract: A performance modeling tool and method permitting the user to define the elements of a distributed system (hosts, networks and response times), and examine the effect on performance of different distributions of application processes over the system at an early stage in application design. Once a user has defined a performance scenario, it is saved to a data model as a number of interdependent persistent objects that show the distribution of the application for a particular performance scenario from different views. Multiple alternates of each object can be stored. The user can construct different performance scenarios for analysis from the stored objects. Analysis can include performance simulation from which the user can obtain performance projections for an application process or several application processes over different distributions of the performance worload.

    Abstract translation: 一种性能建模工具和方法,允许用户定义分布式系统(主机,网络和响应时间)的元素,并在应用程序设计的早期阶段检查对系统上不同应用程序分布的性能的影响。 一旦用户定义了性能场景,它将被保存到数据模型中,作为一些相互依赖的持久对象,显示来自不同视图的特定性能场景的应用程序分布。 可以存储每个对象的多个候补。 用户可以从存储的对象中构建用于分析的不同性能场景。 分析可以包括性能模拟,用户可以从性能模拟中获得应用程序进程的性能预测,或者通过不同的性能工作分配获得多个应用程序。

    Parallel development and deployment for machine learning models

    公开(公告)号:US10482389B2

    公开(公告)日:2019-11-19

    申请号:US14560484

    申请日:2014-12-04

    Abstract: Example systems and methods of developing a learning model are presented. In one example, a sample data set to train a first learning algorithm is accessed. A number of states for each input of the sample data set is determined. A subset of the inputs is selected, and the sample data set is partitioned into a number of partitions equal to a combined number of states of the selected inputs. A second learning algorithm is created for each of the partitions, wherein each second learning algorithm receives the unselected inputs. Each of the second learning algorithms is assigned to a processor and trained using the samples of the partition corresponding to that algorithm. Decision logic is generated to direct each of a plurality of operational data units as input to one of the second learning algorithms based on states of the selected inputs of the operational data unit.

    Automated selection of filter parameters for seismic analysis
    7.
    发明授权
    Automated selection of filter parameters for seismic analysis 有权
    自动选择过滤参数进行地震分析

    公开(公告)号:US09330441B2

    公开(公告)日:2016-05-03

    申请号:US14196755

    申请日:2014-03-04

    Abstract: A filter selection technique is described for automatically selecting filters and filter parameters to apply to a given input data. The technique first receives input data and accesses a library storing information from previously analyzed data. The technique selects an entry from the library where the entry contains data that is correlated with the input data. The technique then applies a filter to the input data. The filter and filter parameters are determined by the selected entry.

    Abstract translation: 描述了一种滤波器选择技术,用于自动选择滤波器和滤波器参数以应用于给定的输入数据。 该技术首先接收输入数据并访问从先前分析的数据存储信息的库。 该技术从库中选择一个条目,其中条目包含与输入数据相关的数据。 然后,该技术将过滤器应用于输入数据。 过滤器和过滤器参数由所选条目确定。

    Automated laboratory software architecture
    8.
    发明授权
    Automated laboratory software architecture 有权
    自动实验室软件架构

    公开(公告)号:US06581012B1

    公开(公告)日:2003-06-17

    申请号:US09364602

    申请日:1999-07-30

    Abstract: An integrated clinical laboratory software system for testing a specimen. At least one specimen processing module is advantageously provided, each for performing particular predetermined tests on the specimen. Integrated work flow automation programming communicates with any of the plurality of specimen processing modules. The specimen processing modules can include instrument hardware and embedded process control software. The work flow automation programming includes request processing programming for processing a user request for any of the tests which are available to be performed by the specimen processing modules, and also includes functional control programming which provides functional control of any of the plurality of specimen processing modules for performing any of the tests, and which further includes result data management programming provides processing of test result data of any of the tests.

    Abstract translation: 一个用于测试样本的综合临床实验室软件系统。 有利地提供至少一个样本处理模块,每个用于对样本执行特定的预定测试。 集成工作流程自动化程序与多个样本处理模块中的任何一个进行通信。 样品处理模块可以包括仪器硬件和嵌入式过程控制软件。 工作流程自动化编程包括用于处理用户对由样本处理模块可执行的任何测试的请求的请求处理程序,并且还包括提供对多个样本处理模块中的任何一个进行功能控制的功能控制程序 用于执行任何测试,并且还包括结果数据管理编程提供对任何测试的测试结果数据的处理。

    Circular Transaction Path Detection
    9.
    发明申请
    Circular Transaction Path Detection 审中-公开
    循环事务路径检测

    公开(公告)号:US20140143110A1

    公开(公告)日:2014-05-22

    申请号:US13682486

    申请日:2012-11-20

    Inventor: Bin Qin Denis Malov

    CPC classification number: G06Q40/04 G06Q40/10

    Abstract: Example systems and methods of circular transaction path detection are presented. In one example, a directed graph comprising nodes and directed edges interconnecting the nodes is generated. The directed graph is based on information describing a plurality of parties and a plurality of transactions between the parties. A circular path length of interest is received. Strongly connected components of the directed graph are identified. Within each of the strongly connected components, each circular path having a length equal to the circular path length of interest is discovered. For each discovered circular path, the transactions represented by the directed edges of the path are denoted as related transactions.

    Abstract translation: 提出了循环事务路径检测的示例系统和方法。 在一个示例中,生成包括连接节点的节点和有向边的有向图。 有向图基于描述多方的信息和双方之间的多个交易。 接收感兴趣的圆形路径长度。 确定有向图的强连接分量。 在每个强连接的部件中,发现了具有等于感兴趣的圆形路径长度的长度的每个圆形路径。 对于每个发现的循环路径,由路径的有向边表示的事务表示为相关事务。

    Method to sequentially encode PINYIN of Chinese character with few symbols
    10.
    发明授权
    Method to sequentially encode PINYIN of Chinese character with few symbols 失效
    用几个符号顺序编码汉字的PINYIN的方法

    公开(公告)号:US07861164B2

    公开(公告)日:2010-12-28

    申请号:US11163923

    申请日:2005-11-03

    Applicant: Bin Qin

    Inventor: Bin Qin

    CPC classification number: G06F17/2223 G06F3/0233 G06F3/0238

    Abstract: A method of encoding Chinese character PINYIN into digital string and utilizing a key pad to input Chinese character to computer is described herein. The pronunciation of a Chinese character can be described by Romania form of 26 letters, and four tone indicators. In accordance with the present invention, a lookup table has been composed, allowing the 30 symbols to be grouped into ten sets. Each set is associated with group identification respectively. In operation, a key pad mapped with the lookup table allows individual symbol of PINYIN to be inputted directly using group identification as medium. Individual symbols are retrieved exclusively through the group identification and echoed step by step. A human-machine interface similar to an ASCII compatible keyboard has been established by the method for a small key pad compatible to phone set during the PINYIN inputting process. An inputted PINYIN is used to retrieve a Chinese character further.

    Abstract translation: 本文描述了将汉字PINYIN编码成数字字符串并利用键盘将汉字输入到计算机的方法。 汉字的发音可以用罗马尼亚形式的26个字母和四个音标表示。 根据本发明,已经组成了查找表,允许将30个符号分组成十组。 每组都分别与组标识相关联。 在操作中,使用查找表映射的键盘允许使用组标识作为介质直接输入PINYIN的单独符号。 单独的符号通过组识别完全检索并逐步回应。 通过在PINYIN输入过程中与手机设置兼容的小键盘的方法,建立了类似于ASCII兼容键盘的人机界面。 输入的PINYIN用于进一步检索汉字。

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