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    • 26. 发明授权
    • Optimizing subset selection to facilitate parallel training of support vector machines
    • 优化子集选择以促进支持向量机的并行训练
    • US07519563B1
    • 2009-04-14
    • US11053385
    • 2005-02-07
    • Aleksey M. UrmanovAnton A. BougaevKenny C. Gross
    • Aleksey M. UrmanovAnton A. BougaevKenny C. Gross
    • G06F15/18G05B13/02
    • G06K9/6269G06N99/005
    • One embodiment of the present invention provides a system that optimizes subset selection to facilitate parallel training of a support vector machine (SVM). During operation, the system receives a dataset comprised of data points. Next, the system evaluates the data points to produce a class separability measure, and uses the class separability measure to partition the data points in the dataset into N batches. The system then performs SVM training computations on the N batches in parallel to produce support vectors for each of the N batches. Finally, the system performs a final SVM training computation using an agglomeration of support vectors computed for each of the N batches to obtain a substantially optimal solution to the SVM training problem for the entire dataset.
    • 本发明的一个实施例提供一种优化子集选择以促进支持向量机(SVM)的并行训练的系统。 在操作期间,系统接收由数据点组成的数据集。 接下来,系统评估数据点以产生类可分离性度量,并使用类可分离性度量将数据集中的数据点分解成N个批次。 然后,系统对N个批次并行执行SVM训练计算,以产生每个N个批次的支持向量。 最后,系统使用针对N个批次中的每一个计算的支持向量的聚集来执行最终SVM训练计算,以获得对于整个数据集的SVM训练问题的基本上最佳的解决方案。
    • 29. 发明申请
    • ESTIMATING BALL-GRID-ARRAY LONGEVITY IN A COMPUTER SYSTEM
    • 在计算机系统中估计球网阵列长度
    • US20100324882A1
    • 2010-12-23
    • US12490012
    • 2009-06-23
    • Aleksey M. UrmanovAnton A. BougaevDavid K. McElfreshLeoncio D. Lopez
    • Aleksey M. UrmanovAnton A. BougaevDavid K. McElfreshLeoncio D. Lopez
    • G06F9/44
    • H04Q9/00H04Q2209/84
    • A method for generating a service action for a computer system is described. During the method, a longevity index value for a packaging technology (such as solder joints in a BGA) in the computer system is calculated using thermal and vibration telemetry data (which is collected in the computer system) and a longevity model. This longevity model may be based on accelerated failure testing of the packaging technology, field failures of the packaging technology in a group of computer systems (which includes the computer system) and/or thermal and vibration telemetry data for the group of computer systems. Furthermore, using the longevity index value, the service action for the computer system is determined. Based on the longevity index value, remedial action (such as repairs to the computer system) may be scheduled and performed.
    • 描述了一种用于为计算机系统生成服务动作的方法。 在该方法中,使用计算机系统中的热和振动遥测数据(计算机系统中收集)和长寿模型来计算计算机系统中的包装技术(诸如BGA中的焊点)的寿命指数值。 该寿命模型可以基于包装技术的加速故障测试,一组计算机系统(包括计算机系统)中的包装技术的现场故障和/或用于该组计算机系统的热和振动遥测数据。 此外,使用寿命指数值,确定计算机系统的服务动作。 根据寿命指数值,可以安排和执行补救措施(如计算机系统的维修)。