滑动 窗口 英语是什么意思 - 英语翻译

在 中文 中使用 滑动 窗口 的示例及其翻译为 英语

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滑动窗口协议,是TCP使用的一种流量控制方法。
Sliding Window is the method of flow control TCP uses.
滑动窗口称为内核,过滤器或特征检测器。
The sliding window is called a kernel, filter, or feature detector.
将使用滑动窗口和确认(ACK)进行流量控制。
Flow control would be done by using sliding windows and acknowledgments(acks).
滑动窗口又称作卷积核、滤波器或是特征检测器。
The sliding window is called a kernel, filter, or feature detector.
滑动窗口,也被称作SlidingWindow。
Sliding windows are also called gliding windows..
与所有滑动窗口协议一样,协议具有窗口大小。
As with all sliding window protocols, the protocol has a window size.
Tcp滑动窗口与拥塞控制.
TCP Sliding Window and Congestion Control.
滑动窗口内的密度与其内部点的数量成正比。
The density within the sliding window is proportional to the number of points inside it.
这就是它在一个滑动窗口位置的样子:.
This is what it looks like at one sliding window location:.
这意味着滑动窗口可能与另一个窗口重叠。
That means a sliding window could overlap with another window..
TCP利用滑动窗口实现流量控制的机制。
TCP uses a sliding window mechanism for implementing flow control.
流量控制是利用滑动窗口机制实现的。
Flow Control is managed using the concept of a Sliding Window.
流量控制是利用滑动窗口机制实现的。
Flow control is provided by using a sliding window mechanism.
每次滑动窗口向右移动一个位置。
Each time the sliding window moves right by one position.
这就是滑动窗口
So this is the sliding window.
TCP还采用一种称为“滑动窗口”的….
TCP uses what is called a sliding window protocol.
这种机制也别称为滑动窗口机制。
This mechanism is usually called the sliding window mechanism.
TCP是具有超时和重发的滑动窗口协议。
TCP is a sliding window protocol with time-out and retransmits.
最终实际使用的滑动窗口大小是这两个窗口的和。
The size of the actual sliding window used is the sum of these two windows..
例如,您可能希望执行滑动窗口分析,从而确定前5分钟内购买的最热门股票。
For example, you might want to perform a sliding window analysis where you determine the most popular stock purchased in the last 5 minutes.
在这个示例中,他们演示了如何使用遥感数据与滑动窗口找到那些在15秒的窗口期间内出现多次故障的设备。
In the demo, they showed using the telemetry data and sliding windows find devices that have multiple failures in a 15-second window..
这些分类器使用级联的多尺度滑动窗口进行评估,并在负分类的情况下提前下降。
These classifiers are assessed with a multi-scale sliding window in cascade and dropped early in case of a negative classification.
传统上,这已经可以通过使用不同尺寸的滑动窗口来解决,这是简单但非常低效的。
Traditionally this has been solved with using sliding windows of different sizes, which is simple but very inefficient.
高度或区域大小可能会有所不同,但一次滑动窗口超过2-5个字是典型的。
The height, or region size, may vary, but sliding windows over 2-5 words at a time is typical.
你的任务是得到滑动窗口在每个位置时的最大值和最小值。
Your task is to determine the maximum and minimum values in the sliding window at each position.
滑动窗口内的密度与其内部的数据点数量成比例。
The density within the sliding window is proportional to the number of points inside it.
SparkStreaming可以立即恢复丢失的工作和操作员状态(例如,滑动窗口),而无需任何额外的代码.
Spark Streaming recovers both lost work and operator state(e.g. sliding windows) out of the box, without any extra code on your part.
然后,每个滑动窗口的预期输出是窗口结束后的时间步长。
The expected output of each sliding window is then the timestep after the end of the window..
结果: 28, 时间: 0.021

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