Machine Learning -- 主动学习(AL) 参考论文:Survey on active learning algorithms. Computer Engineering and Applications 主动学习算法作为构造有效训练集的方法,其目标是通过迭代抽样,寻找有利于提升分类效果的样本,进而减少分类训练集的大小,在有限的时间和资源的前提下,提高分类算法的效率。主动学习已成为模式识别、...
Machine Learning Problems
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. ...
Large quantities of data can alleviate some problems in machine learning such as, obviously, small sample problems, but they also give rise to other problems such as high dimensional data problems and technical problems related to storage and processing efficiency. There are numerous mistakes ...
It is unique in how it becomes, in a way, intuitive. Through repetition, it learns by inference without a need to be deliberately programmed each and every time. However, a caveat: Machine learning can make mistakes and appropriate caution should be used. 1 ...
机器学习（Machine Learning）的由来 1.机器学习的历史 你可能会觉得机器学习、人工智能和智能计算机的历史都是最近的事情。当我们想到这些技术时，我们往往会想到一些非常现代的东西，一些只在过去的十年里才发展起来的东西。但你可能会感到惊讶，机器学习的历史可以追溯到20世纪40年代。虽然我们无法确切指出机器学习是...
Machine learning in point-of-care testing: innovations, challenges, and opportunities Recent years have seen an increasing shift from centralized laboratory diagnostics to decentralized point-of-care testing, a shift which has the potential to increase health equity. Here the authors provide their persp...
It is the equivalent of giving a child a set of problems with an answer key, then asking them to show their work and explain their logic. Supervised learning models are used in many of the applications we interact with every day, such as recommendation engines for products and traffic ...
K-Means are unsupervised machine learning algorithms used to solve clustering problems. They divide and classify a set of unlabeled (no external classification) data points into a group, called clusters. Each iteration of the algorithm assigns each point to a group with similar features. Data point...
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