Creative mug shaped like the time machine from the British science fiction television series Doctor Who.
造型像英国科幻小说电视连续剧《神秘博士》中的时间机器的创意杯子。
And I’m sure Steve Jobs wishes he had a German microwave time machine, like the guys in the series The Future Machine, so he could go back and fix a couple of mistakes (Lisa).
我感确定乔布斯已经非常需要一台时光机器，这样他就能回到过去以弥补过去所犯的错误。
Chaos and support vector machine theory has opened up a new route to study complicated and changeable non-linear hydrology time series.
混沌和支持向量机理论为研究复杂多变的非线性水文时间序列开辟了新的途径。
How to handle time series data with other attributes in machine learning?
如何在机器学习的其他属性的处理时间序列数据？
In this article, the natural frequencies of machine tools under continuous cutting and steady non-continuous cutting conditions are identified with time series method.
本文用时间序列分析的方法，在机床连续切削和非连续平稳切削状态下识别机床的固有频率。
Epsilon machine, a new computational mechanics, can discover hidden pattern from the response time series.
机是一种新的计算力学理论，它能从时间序列中发掘系统的隐含模式。
The basic principle and method of time series analysis and its application in thermal error modeling on NC machine tools were presented.
提出了采用时间序列分析法进行机床热误差建模的基本原理及方法，及其在数控机床热误差补偿建模中的应用。
When we take "the series connection of the single machine and double pillar" it needs precise shifting between two pillars, and time-shearing operation.
在采用单机双柱串联方式时，则需要精确的柱间切换，分时操作。
The Support Vector machine (SVM) is a new machine learning method based on the statistical learning theory and it is very useful to solve nonlinear problems of short time series.
支持向量机(SVM)方法是基于统计学理论的一种新的机器学习方法，对解决小样本条件下的非线性问题非常有效。
Modems used for the entire time series FPGA control, the use of DSP to CMB909 executable program control, data and images of the packaging and communications between PC machine and serial interface.
整个调制解调器采用FPGA进行时序控制，采用DSP对CMB909进行编程控制、数据帧的打包以及和PC机的串口通信。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
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