网络学习 网络释义 1. 学习 ...代理㆟会整合系统内部的知识与收集的知识来执行归纳学习(similarity-based learning) 与演译学习(explanation-based lea… www.docin.com|基于 1 个网页
专业医学词典 基于相似的学习 与"similarity-based learning"相近的词条 ...
Similarity-based approaches to machine learning come from the idea that the best way to make a predictions is to simply look at what has worked well in the past and predict the same thing. The fundamental concepts required to build a system based on this idea are feature spaces and measures...
可以观察到,我们的OrthoCos+BN和OrthoArc+BN的性能都优于目前最先进的DPN[11]和CSQ[49]。在多标记数据集(即NUS-WIDE和MS,DTSH [44] (triplet based method)表现最好,分别为0.851和0.862,分别为64和128 bits的哈希编码。然后是我们的方法(例如,在相同的设置下,orthcos +BN分别达到0.850和0.856)。而OrthoCos...
We then provide a novel diversity based heuristic to perform task-driven selection of landmark points instead of random selection. We demonstrate the effectiveness of our goodness criteria learning method as well as the landmark selection heuristic on a variety of similarity-based learning datasets ...
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1) similarity-based leraning 基于相似的学习2) Problem-Based Learning 基于问题的学习 1. Application of Problem-Based Learning Model in Clinical Nutrition Teaching; 基于问题的学习模式在临床营养学教学中的应用 2. Transformation from problem-based lecture to problem-based learning 从“基于问题的教学...
This chapter describes all the machine learning methods that are employed in this book to obtain results for different applications of computer vision and string processing . The chapter gives an overview of the main concepts of learning based on similarity. Specific machine learning methods that are...
Explanation-Based Acceleration of Similarity-Based Learning.Program synthesis by examples is more convenient than using conventional techniques, since it only requires examples instead of a detailed specification. In spite of this convenience, ... M Numao,M Shimura - 《Proceedings of the Sixth Interna...
14.Learning for RBF Networks 有两个参数是需要学习,而u参数是非线性的,直接求导计算的话玩不来,所以需要先确定: 根据上面的各种需求就可以求导即可,比如regression,或者是带regular的regression直接套公式即可。 15.KMean均值 上面RBF Network的第一步就是要确定中心点,这里就可以使用k均值算法了。