...摘要: 排序是信息检索中的一个重要的环节,当今已经提出百余种用于构建排序函数的特征,如何利用这些特征构建更有效的排序函数成为当今的一个热点问题,因此排序学习(learning to rank)作为信息检索与机器学习的交叉学科,越来越受到人们的重视.根据不同的原则,查询可以分为不同的类别.
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文中用作者提出的通用前馈网络和排序学习算法,提出了一种设计具有期望容错域的前向掩蔽联想记忆模型的方法。
A design method of ahead masking associative memory model with expecting fault-tolerant field is proposed by use of the general feed-forward network and sequential learning algorithm given by authors.
在这个过程中,还要学习如何在运行时隐藏列和对列进行排序。
In the process, you will also learn how to hide and sort columns at runtime.
您将学习如何显示文本、执行排序、计算单词和行数、转换字符,以及其他任务。
You will learn how to display text, sort it, count words and lines, and translate characters, among other tasks.
They are computationally challenged, meaning, at the time they were invented, they were perfectly good sorting algorithms, there are better ones, we're going to see a much better one next time around, but this is a good way to just start thinking about how to do the algorithm, or how to do the sort.
他们是相当棒的排序算法,是有更好的算法,我们下一次,就会看一个更好的,但是开始想想,如何完成算法,或者说是如何排序,是一个好的学习方法,恩,再试试吧,如何来排序呢?
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