Piecewise-Linear Approximation for Feature Subset Selection in a Sequential Logit Model This paper concerns a method of selecting a subset of features for a sequential logit model. Tanaka and Nakagawa (2014) proposed a mixed integer quadratic ... T Sato,Y Takano,R Miyashiro - 《Journal of the...
Naveen NaiduNarisetty, inHandbook of Statistics, 2020 2.1Best subset selection For model selection, the best subset selection approach is to find the best combination of variables among all possible combinations. For example, if there are three predictorsX1,X2,X3, then we would consider all the...
Guo and Nixon proposed a feature selection method based on maximizing I( x;Y), the multidimensional mutual information between feature vector x and class variable Y. Because computing I(x;Y) can be difficult in practice, Guo and Nixon proposed an approximation of I(x;Y) as the criterion fo...
nimbusml.ensemble.subset_selector nimbusml.ensemble.EnsembleClassifier nimbusml.ensemble.EnsembleRegressor nimbusml.ensemble.FastForestBinaryClassifier nimbusml.ensemble.FastForestRegressor nimbusml.ensemble.FastTreesBinaryClassifier nimbusml.ensemble.FastTreesRegressor ...
Feature selection is one of the techniques in machine learning for selecting a subset of relevant features namely variables for the construction of models... R Muthukrishnan,R Rohini - IEEE International Conference on Advances in Computer Applications 被引量: 5发表: 2016年 Resource Optimization in ...
Self-adaptive and Bidirectional Dynamic Subset Selection Algorithm for Digital Image Correlation The selection of subset size is of great importance to the accuracy of digital image correlation (DIC). In the traditional DIC, a constant subset size is used for computing the entire image, which overlo...
作者: ML Bermingham,R Pong-Wong,A Spiliopoulou,C Hayward,I Rudan,H Campbell,AF Wright,JF Wilson,F Agakov,P Navarro 展开 摘要: In this study, we investigated the effect of five feature selection approaches on the performance of a mixed model (G-BLUP) and a Bayesian (Bayes C) ...
FeatureSubset.filterType() Returns: the filterType value.fromJson public static FeatureSubset fromJson(JsonReader jsonReader) Reads an instance of FeatureSubset from the JsonReader. Parameters: jsonReader - The JsonReader being read. Returns: An instance of FeatureSubset if the JsonReader was ...
in recent years. This study develops a novel feature selection (FS) method for gene subset selection by utilizing the Weight Local Modularity (WLM) in a complex network, called theWLMGS. In the proposed method, the discriminative power of gene subset is evaluated by using the weight local ...
In this work we propose a method for local feature subset selection, where we simultaneously partition the sample space into localities and select features for them. The partitions and the corresponding local features are represented using a novel notion of feature tree. The problem of finding an...