实验结果表明，在可以接受的冲突概率下，tcp流首报文的顺序号和确认号的部分高位比特可以用来作为流标签。
The experimental results suggest that some bits in the TCP sequence number and acknowledgment number can be selected out as flow ID with acceptable confliction probability.
等待流的关闭标签(以便最终建立DOM)就意味着等待整个会话结束。
To wait for the stream's closing tag (in order to finalize building the DOM) means waiting until the conversation ends.
表现力大多源于存在条件逻辑、动态更改输入模型和控制执行流的标签。
Much of the expressiveness comes from there being tags for conditional logic, dynamically changing the input model, and controlling the flow of execution.
通常，进程中的原子步骤是由We b流定义中的标签表示的一个用户操作。
Quite often, an atomic step in the process is a user action represented by a tag in the Web-flow definition.
流中的四个标签节点连接到四个FileOutput 节点，后者为每个部门产生一个输出文件。
The four label nodes in the flow are connected to four FileOutput nodes, which produce one output file for each department.
标签也可能是在一个托盘上，该托盘应该在两日前就已被装运送走，这时，一条联系客户或变更托盘运送路径的新工作流就必须启动。
It might be that the tag is on a pallet that was supposed to be shipped two days ago and a new workflow to contact the customer or reroute the pallet must be kicked off.
你可以从集成流集成代码到开发流，这包括移动标签并解决合并冲突。
You can have code merging from the integration stream to your development stream, which involves moving labels and resolving merge conflicts.
不管它们是由汽车经销商直接销售还是贴牌生产，所有这些自行车迄今为止都具有一个共同的特点：它们挂着不菲的价格标签，提供的却只是二流的性能。
Whether they're sold directly by car dealers or badge-engineered, all these bikes have had one thing in common so far: they offer middling performance at a premium price tag.
在为WebSphereMessageBroker创建绑定配置（本文稍后将介绍此过程）时，将引用标签为 A和B 的流。
The flows labelled A and B are referenced when you create the bindings configuration for WebSphere Message Broker, a process described later in this article.
在某些情况下，根据我们的工作流需要，可以使用标签窗格。
In some cases, depending on user workflows, tabbed panes can be appropriate.
为了解决在没有已知标签样本的情况下数据流组合分类决策问题，提出一种基于约束学习的数据流组合分类器的融合策略。
To resolve combining classifiers decisions among ensemble classification over data streams without labeled examples, a transductive constraint-based learning strategy was proposed.
为了解决在没有已知标签样本的情况下数据流组合分类决策问题，提出一种基于约束学习的数据流组合分类器的融合策略。
To resolve combining classifiers decisions among ensemble classification over data streams without labeled examples, a transductive constraint-based learning strategy was proposed.
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