• 杂食破坏性:很高兴看到个令人眼前样本

    It's omnivorous and just about indestructible: one specimen was seen happily consuming a lit cigarette butt.

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  • 洁净字体(clean font)包含sansserif(衬线字体)类字体样本,其比例标准线条清晰且背景干净

    Clean fonts contain the samples of free fonts of the sans serif family with classic proportions, distinct lines, and clean backgrounds.

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  • 小型脊椎动物也是克里斯海洋研究所的收藏对象,其数量足有上亿种,上图中的桡足类(copepod)样本其中一小部分。

    Small invertebrates make up yet another collection at Scripps. The copepods above are just a few of 100 million crumb-sized creatures in the collection.

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  • 公司主要印刷服装箱包牌、洗涤()、样本说明书复写报表、联单、手提不干胶塑料袋制作印刷等。

    Company printing: clothing, luggage tag on, washing mark (wash mark), samples, brochures, non-carbon replication, report, the single, hand carry bags, stickers, plastic bags production and printing.

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  • 样本较大时,QIF方法表明工作相关选择等价估计方程的选择。

    When the sample size is great, QIF approach shows that the selection of working correlation is same to the selection of unbiased estimating equation.

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  • 这件包裹里面商业价值样本

    The contents of this parcel is a sample of no commercial value.

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  • 由于船体可靠性样本船体可靠性试验常用定时截尾方法得到船体寿命的失效数据

    Because of the high reliability of hull and less samples, the fixed time censoring method is used in the reliability test of hull commonly to get zero-failure data of hull.

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  • 针对现有监督异常检测技术不足之处提出了一种基于样本分布异常数据实例度量方法

    Aiming at the weaknesses of current unsupervised anomaly detection techniques, a measurement approach about samples distribution of anomaly data is proposed.

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  • 功率减法一种传统降噪方法。 但是功率谱减法采用固定音片段作为噪声样本容易引起误差

    Power spectral subtraction is a traditional method for decreasing noise which easily leads to error by regard fixed silence fragment as noise sample.

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  • 数学模型采用一个简单实用标准样本学习模式识别方法

    Mathematic model is a simple and practical model recognition without standard sample studying.

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  • 参数体系进行噪声适应性测试实验结果表明,噪声情况下样本识别率87.50%;

    Next, noise compatibility test of this parameter system was carried on. The simulation result was: the sample recognition rate was 87.50% in non-noise condition;

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  • 虽然pcna表达食管癌放射治疗后局部控制率总体生存率显著相关,但由于病例数较少,须扩大样本进一步研究

    Although no correlation between PCNA and local control or overall survival rate is found, further study is still needed because of the limited cases alloted.

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  • 包含少量有标签样本训练大量标签样本测试集上,具有良好的效果。

    They are more efficient than inductive SVMs, especially for very small training sets and large test sets.

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  • 目的当前对于细胞泌尿道上皮(SCUC)的推荐治疗基于对照病例报道样本回顾性研究的出的。

    Purpose Currently, treatment recommendations for small-cell urothelial cancer (SCUC) are based on anecdotal case reports and small retrospective series.

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  • 监督学习中,网络提供一些学习样本提供理想输出

    In unsupervised learning, only learning to network with some samples, rather than provide an ideal output.

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  • 样本选择偏倚基线资料预后相关

    No baseline data were found to be related to the prognosis due to a small sample size and selection bias.

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  • 试验表明只要样本空间映射合理这种组织监督的神经网络具有好的学习功能工程中具有广泛的应用前景

    The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self - learning function. It has good application in engineering.

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  • 我们方法得到数据分布较好估计,能够减轻样本代表性问题

    Our method gains better estimation of data distributions and mitigates the unrepresentative problem of small-size training samples.

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  • 从图中我们可以看到D样本8摄氏度下组织结构

    We can see there the amorphous structure of the raw frit D (0 8C).

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  • 裕固族这种独一历史文化文化谱系学分析研究最佳样本

    The unique history and culture of the Yugurs is the best sample of analysis and studies on cultural genealogy.

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  • 讨论阶段抽样比率估计及其样本量选择问题,给出比率估计抽样均方误差的近似公式及其估计的公式。

    We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling.

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  • 第四,从横向上介绍校准估计量二重抽样中的应用、在回答中的应用,推出其在样本轮换中的应用。

    In chapter 4, introducing the application of calibration estimator in two-phase sampling, non-response and sampling rotation.

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  • IRIS数据检验表明,未确知均值算法误判样本数少、收敛速度快、棒性一种实用、有效的监督聚类算法。

    The data of IRIS indicates that the algorithm possesses the better convergence, better robustness and it is an unsupervised clustering algorithm.

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  • IRIS数据检验表明,未确知均值算法误判样本数少、收敛速度快、棒性一种实用、有效的监督聚类算法。

    The data of IRIS indicates that the algorithm possesses the better convergence, better robustness and it is an unsupervised clustering algorithm.

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