feature selection 中文意思是什麼
feature selection
解釋
特鍘擇-
In particular, feature selection removes irrelevant features, increases efficiency of learning tasks, improves learning performance, and enhances comprehensibility of learned results
特徵選擇能夠移除不相關特徵，提高學習效率，改善學習性能，增強學習結果的可理解性。 -
Feature selection, as a preprocessing step to data mining, is effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility
屬性選擇作為數據挖掘過程中的一個重要步驟可以有效地降低特徵維度，去除不相關屬性，提高模型準確率以及增加模型的可解釋程度。 -
Feature selection and input dimension reduction are of paramount im - portance to transient stability assessment based on neural networks
輸入特徵選擇和輸入空間降維是基於神經網路暫態穩定評估的首要問題。 -
Feature selection algorithm based on potential difference
基於位差的屬性選擇演算法 -
A new feature selection method in text categorization
文本分類中一種新的特徵選擇方法 -
It can save the information near lips, which may be deleted by the method based on two points. ( 2 ) based on the analysis of current methods, a new multi - pose facial feature location algorithm is developed, which is based on the analysis of multi - feature and integral projection, the combination of an iterative search with a confidence function and template matching. the algorithm not only improves the location accuracy, but also speeds up a great deal. ( 3 ) based on the analysis of the advantages and disadvantages of current feature extraction methods, an adaptive facial feature selection criterion is developed, which is based on facial local feature protrusion consisting of several aspects, such as face image resolution and image quality
其後研究了人臉特徵提取，一、討論了適合於多姿態人臉識別的基於三點仿射變換的人臉圖像歸一化方法，以克服基於兩點仿射變換會引起較大圖像信息損失的缺陷；二、在分析現有器官定位演算法的基礎上，提出了新多姿態人臉器官特徵定位技術，將多特徵和直方圖分析、基於置信度函數的迭代搜索和模板匹配相結合，既提高了器官定位精度，又提高了定位速度。 -
The application of feature selection methods in variables selections for credit scoring models
特徵選擇方法在信用評估指標選取中的應用 -
In this paper, a new combined feature selection function that is based on the mutual information and ^ 2 is proposed
本文針對^ 2統計和互信息兩種特徵選擇評估函數存在的不足展開研究，根據兩者之間的互補性提出了一種聯合的特徵抽取評估函數。 -
In this paper, we will propose a method of feature selection and weighting scheme based on text set density, which is a way of measure of contribution to the text set density about some word
在這篇論文中，我們提出了一種基於文本集密度的特徵詞選擇與權重計算方案的方法。 -
Algorithm of feature selection for semantic video classifier
視頻語義分類特徵選擇演算法 -
In this paper, we treat the puzzle for gene mapping as a pattern recognition problem and propose a feature selection algorithm ( mpisc ) to mine snp combination remarkably associated with complex trait. this method offers us a new way for gene mapping from a global view
本文中的研究中，我們將基因定位問題看作提取疾病特徵標記（比如snps ）的模式識別問題，提出了snp協作簇的特徵提取演算法mpisc ，這里我們稱一組相互作用的snps為一個協作簇。 -
As we all know, the methods of feature selection for supervised learning perform pretty well with strong practice and simple operation
眾所周知，在有指導學習環境下，出現了很多性能優越、實用性強和操作方便的屬性選擇方法。 -
According to various of applications of the datasets, feature selection algorithms can be categorized as either supervised learning or unsupervised learning feature selection approaches
屬性選擇問題可以分為有指導學習環境下的選擇和無指導學習環境下的選擇。 -
The typical ones include relief - f, information gain and chi - square etc. feature selection was considered as feature selection in supervised learning from traditional view
其中的典型代表有relief - f 、信息增益和卡方檢驗等。過去傳統意義上的屬性選擇通常是指在有指導學習環境下的屬性選擇。 -
The point of paper is to make a deep survey on feature selection for unsupervised learning, which can provide some valuable practical experience of enhancing efficiency of data mining for unsupervised learning
本文的重點就是對無指導學習下的屬性選擇進行深入研究，以此為無指導學習環境下的提高數據挖掘的效率提供一些實踐經驗。 -
The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design
首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。 -
Feature selection based on quadratic mutual information criterion
基於二次互信息的特徵選擇演算法 -
This paper summarized a system feature set for transient stability classification, several methods for analyzing the separability of input space of transient stability classification are discussed, tabu search - ing technique is employed to select an effective set of features from a large initial features set. the classification test shows that the presented method works very well for feature selection. fisher linear recognition is employed to cut down the training sample set, the computation burden of the ann training is alleviated very much, so the convergence performance is improved
本文總結提出了一組用於穩定分類的系統特徵，研究了幾種暫態穩定分類輸入空間可分性分析的方法，並利用tabu搜索技術從一個維數較大的特徵集中選擇出一組有效特徵，取得了良好的效果；研究提出了利用fisher線性識別技術壓縮訓練樣本集的方法，大大減輕了ann的訓練負擔，提高了ann收斂的性能。 -
At the stage of image recognition, a unique model of pcb fault recognition was built on methods of tree - classification and sequenntial probability ratio test, and a kind of method of m feature selection and extraction was introduced
在圖像識別中，本文分析了常用的模式識別方法，根據樹分類法和序貫概率比檢定法的思想設計了一種獨特的pcb缺陷模式識別方法；並給出了針對各種pcb缺陷模式的特徵選擇與提取方法。 -
Feature selection value
功能選擇值
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