• System calls or kernel functions (link, sethostname, mkdir).

    系统调用或内核函数(link、sethostname、mkdir)。

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  • Now let's look at some of the other kernel functions that you can hook.

    现在我们看看其他能挂钩的内核函数。

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  • The kernel functions are generated to use polynomials and radial basic functions.

    核函数分别采用多项式和径向基函数。

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  • The properties of the kernel functions of the remote sensing equations have been discussed.

    对遥感方程核函数的基本性质进行了讨论。

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  • SVM can deal with nonlinear problems in classification and Regression easily by using kernel functions.

    通过引入核函数,支持向量机可以很容易地实现非线性算法。

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  • The research showed that the performance of a classification model depended on different kernel functions.

    研究表明,不同核函数对模型的性能有很大影响。

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  • The classification ability was verified by support vector machines algorithm with various kernel functions.

    采用不同核函数的支持向量机算法验证分类能力。

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  • But the result is that you can call your kernel functions using their names, just like any other system call.

    其结果是您可以使用它们的名字来调用内核函数,就像其他任何系统调用一样。

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  • Its advantage is to implement a nonlinear classifier using a simply iterative procedure and kernel functions.

    核口袋算法的特点是用简单的迭代过程和核函数来实现非线性分类器的设计。

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  • Although the method based kernel functions can extract nonlinear features, it is not good to reduce dimension.

    尽管核函数方法可以提取到非线性特征,但该方法并不一定能很好的降维。

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  • The comparison of different kernel functions for SVM shows that RBF kernel function is most suitable for recognition of grape disease.

    不同分类核函数的相互比较分析表明,径向基核函数最适合于葡萄病害的分类识别。

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  • The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for recognition of cucumber disease.

    不同分类核函数的相互比较分析表明,线性核函数最适合黄瓜病害识别。

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  • This paper describes the difference between these two kernel functions, which are established respectively based on their own point of view.

    本文重点论述这两种方法从不同的观点出发各自建立的核函数的区别和两种方法的实际应用效果。

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  • The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for shape recognition of plant disease spot.

    不同分类核函数的相互比较分析表明,线性核函数最适于植物病害的分类识别。

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  • The geometric measures and properties of the kernel functions were studied and some Suggestions about the selection of kernel functions were presented.

    研究核函数的几何度量和几何性质,并给出核函数选择(核选择)的建议。

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  • It USES random path kernel function to define the main graph kernel functions and gives different weights to backbone graph which have different order.

    利用随机路径核函数来定义主干图核函数并对不同阶的主干图给予不同的权重。

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  • By analyzing advantages and disadvantages of the two kernel functions, the combinational kernel function is proposed using the convex combination of them.

    从学习能力和推广能力上对径向基核函数和多项式核函数进行了比较,发现二者各有优劣。

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  • Also in this table are a couple of simplification functions that encapsulate the kernel functions in table 2 (requiring a single call instead of multiple calls).

    表2中还有一些简化函数,它们封装了的几个内核函数(用一个调用代替多个调用)。

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  • In this paper, we introduce four boolean kernels. Using the four kernel functions which we introduce, we build a novelty decision rule classifier named as DRC-BK.

    本文介绍了四种具有归纳偏置的布尔核函数,我们利用这 四种核函数构造出一种新颖的决策规则分类器DRC-BK。

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  • The different classification kernel functions are compared, and analysis shows that the radial base function most suits the corn leaf disease classification recognition.

    不同的分类核函数的相互比较分析表明,径向基核函数最适合玉米病害的分类识别。

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  • Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.

    接着分别针对径向基核函数和多项式核函数进行多次实验,分析这两种核函数对过滤算法的影响。

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  • Experiment results show that, kernel machine method is better than artificial neural network, and compound kernel functions is better than common single kernel functions.

    综合比较了核机器方法与人工神经网络法的预测效果,同时展示了常规核与复合核的性能对比。

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  • The kernel functions such as test signal storage, video timing signal generation and systems control signal generation are realized by field programmable gate array(FPGA).

    采用现场可编程门阵列(FPGA)完成测试图案数据存储、各种视频标准时序产生及系统控制信号产生等核心功能。

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  • SVM can have different performances of classification through choosing different Kernel Functions and parameters, and this characteristic makes it flexible in applications.

    SVM通过选择不同的核函数和参数可以使其具有不同的分类性能,在解决各种分类问题上具有很强的灵活性。

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  • Furthermore, the selection of kernel functions and parameters is the task of key importance in kernel-based technology, which has a significant impact on monitoring results.

    此外,基于核的技术关键在于核函数以及核参数的选取,核函数不同及核参数不同都会影响状态监测的效果。

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  • In this approach, the integral operator kernel functions is used to realize the nonlinear map from the raw feature space of gear vibration signals to high dimensional feature space.

    该方法通过计算齿轮振动信号原始特征空间的内积核函数来实现原始特征空间到高维特征空间的非线性映射。

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  • This paper presents the Support Vector Machine and its application to modeling in the polyester industry. Several SVM Algorithms and their kernel functions are presented and compared.

    本文主要讨论支持向量机方法在聚酯工业过程软测量建模中的应用,分析各类支持向量机算法、 参数及核函数的选择对建模精度的影响。

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  • In this class we discuss some results and open problems related to the construction and choice of the appropriate kernel functions for Support Vector Machines and Regularization Networks.

    这堂课我们将讨论且提出有关支持向量机和调控网络建构与选择适当的核心函式运作的一些结果和问题。

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  • First, similar to system calls that bridge user-space applications with kernel functions, a hypercall layer is commonly available that allows guests to make requests of the host operating system.

    首先,类似于将用户空间应用程序和内核函数连接起来的系统调用,一个通常可用的虚拟化调用(hapercall, hypervisor对操作系统进行的系统调用)层允许来宾系统向宿主操作系统发出请求。

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  • This paper presents an adaptive algorithm of optimally determining the structures, number, positions and widths of kernel functions of the improved radial basis function (IRBF) neural networks.

    本文提出了改进的RBF神经网络结构、核函数个数、位置与宽度优化算法。

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