L.: Feature construction and selection using genetic programming and a genetic algorithm. In: Proceedings of the 6th European Conference on Genetic Programming (EuroGP’03), Springer-Verlag, Berlin, Heidelberg (2003)M. G. Smith and L. Bull. Feature construction and selection using genetic pro- ...
出版年:1998-8 页数:434 定价:$ 450.87 装帧:HRD ISBN:9780792381969 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 内容简介· ··· There is a broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining ...
Constructive Induction Using a Non-Greedy Strategy For Feature Selection We present a method for feature construction and selection that finds a minimal set of conjunctive features that are appropriate to perform the classification task. For problems where this bias is appropriate, the method outperform...
Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data-mining and machine-learning problems. The objectives of feature selection include building simpler and more comprehensible models, impro...
Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop Feature Extraction, Construction and Selection: A Data Mining Perspective 特征选择是特征工程的一个子课题. 你可能会喜欢深入看一下特征工程的话题. “Discover Feature Engineering, How to Engineer Features and ...
interest and use feature selection support vector machine to predict whether the serine/threonine [...] chinese.eurekalert.org 用一组新颖的特征来表示所被预测的氨基酸位点周围的肽链,并且使 用 基 于 特 征 选择 的 支 持向 量机来预测某一丝氨酸或苏氨酸位点是否会潜在地被磷酸化。 chinese.eur...
However, the use of mutual information criteria for individual variable ranking was covered in Section 2 and application to feature construction and selection are illustrated in Section 5. 11. The Markov blanket of a given variable xi is a set of variables not including xi that render xi “...
–e.g., data cleaning, labeling, missing data imputation, and categorical data encoding – as well as data augmentation (including synthetic data generation using generative AI methods) and feature engineering – specifically, automated feature extraction, feature construction and feature selection. In...
Thus, assuming that a feature selection and modeling approach has been chosen that is sensitive to a target interaction dimensionality (e.g. 2-way or 3-way), it may be most efficient to skip feature construction, particularly if downstream model interpretation is critical. While feature ...
Feature Extraction, Construction and Selection: A Data Mining Perspective Feature Selection is a sub-topic of Feature Engineering. You might like to take a deeper look at feature engineering in the post: “Discover Feature Engineering, How to Engineer Features and How to Get Good at It“...