Machine learning is a branch of AI based on the idea that systems can learn from data, identify hidden patterns, and make decisions with little/minimal human intervention. Evolutionary computation is an umbrella of population-based intelligent/learning algorithms inspired by nature, where New Zealand...
the PSO-ABC technique [98]. It is an artificial bee colony (ABC) algorithm employing particle swarm optimization (PSO), an evolutionary search algorithm. The training algorithm is implemented with a (5,11,1) MLP-NN. Experiments on a 2 ...
Before we delve into details about these, let’s do a general overview of machine learning research. This also constitutes something of an outline of this text: We’ll spend a chapter on each of the following topics. 0.1 Data mining With the arrival of computing in all facets of day-to-...
Evolutionary computation (EC) is a kind of optimization methodology inspired by the mechanisms of biological evolution and behaviors of living organisms. In the literature, the terminology evolutionary algorithms is frequently treated the same as EC. This article focuses on making a survey of researches...
Krishnan,Sanjay, et al. "SampleClean: Fast and Reliable Analytics on DirtyData." IEEE Data Eng. Bull. 38.3 (2015): 59-75. 二、特征工程 特征工程可分为三个部分: 1、特征选择 2、特征构造 H. Vafaie and K. De Jong, “Evolutionary feature spacetransformation,” in Feature Ex...
In addition, we discuss some preprocessing and postprocessing steps of the knowledge discovery process, focusing on attribute selection and pruning of an ensemble of classifiers. We show how the requirements of data mining and knowledge discovery influence the design of evolutionary algorithms. In ...
H. Vafaie and K. De Jong, “Evolutionary feature space transformation,” in Feature Extraction, Construction and Selection. Springer, 1998, pp. 307–323 J. Gama, “Functional trees,” Machine Learning, vol. 55, no. 3, pp. 219–250, 2004. ...
(a) Performance of the optimisation based on the statistical comparison of the two groups of EMCI and CN. (b) Average performance of the five evolutionary algorithms (EA). Full size image We used five EA methods to investigate whether optimisation algorithms that were specifically designed for ...
这篇文章是21年5月发表在IEEE Transactions on Pattern Analysis and Machine Intelligence上的一篇文章,到现在引用量近700次,主要关注了元学习(Meta Learning)的定义,主要算法,以及在多个领域及场景上的应用。 然后这篇笔记并不是一篇综述的翻译,而是按照survey的架构进行的重要概念描述,结合自己的理解尽可能详细地把一...
[2019 CVPR] A Survey of the Recent Architectures of Deep Convolutional Neural Networks 翻译 综述深度卷积神经网络架构:从基本组件到结构创新 目录 摘要 1、引言 2、CNN基本组件 2.1 卷积层 2.2 池化层 2.3 激活函数 2.4 批次归一化 2.5 Dropout 2.6 全连接层 3、深度CNN结构演化史 3.1 1980年代末至1999年...