support vector machine的意思

support vector machine中文翻譯：

支持向量機

相似詞語短語

vector───n.矢量；帶菌者；航線；vt.用無線電導航

vector arena───矢量競技場

brushes vector───畫筆矢量

apsidal vector───半圓形矢量

support───v.支持；幫助；支撐；維持；證實；勝任；忍受；（尤指在財政方面）資助；（在流行音樂會上）當助演；安慰；（計算機）支持……的運行；n.支持；幫助；支撐物；支撐；扶持；物質援助；安慰；（流行樂或搖滾音樂會的）伴奏；技術支持；證據；（戰爭中的）支援

costate vector───共態向量

vector fonts───矢量字體

disarmed vector───解除防護矢量

coinitial vector───向量共初始

雙語使用場景

Chapter 4, The Some Development of Support Vector Machine.───第4章，支持向量機的部分進展。

Support Vector machine is a new method of machine learning.───支持向量機是一種新的機器學習方法。

The results show that this method is feasible and the classification accuracy and speed is better than traditional support vector machine.───試驗結果表明這種方法是可行的并且分類精度和速度均較傳統的支持向量機分類法有所提高。

Pointed out that the concept of knowledge, general classification algorithms and support vector machine classifier.───指出知識學習的概念與一般的知識分類算法和支持向量機分類器。

However, as a newer theory of machine learning field, support Vector Machine is still being developed and constant improved.───然而，作為機器學習領域中相對較新的理論，支持向量機很多方面還處于不斷發展完善之中。

The selection method of kernel in the information entropy support vector machine model is one of our in-depth researches.───信息熵支持向量機模型中核函數的選取問題也是我們的重點研究內容之一。

Initial goal concept learned by standard support vector machine algorithm was updated by an updating model.───利用標準的支持向量機算法訓練得到初始的目標概念，通過增量式步驟不斷更新初始的目標概念。

and a support vector machine regression (SVR) technique is introduced to establish the model of power equipment insulation status change.───研究了支持向量機回歸技術，并將其初步應用于絕緣劣化動力建模。

英語使用場景

Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.

And support vector machine model is used to estimate the unmeasured process parameters that are difficult to model with first principle.

To resolve the unclassifiable region of one-against-one support vector machine for multiclass problems, an improved one-against-one support vector machine based on distance measure is presented.

The basic Support Vector Machine for Classification solves the primal problem by solving the dual problem.

The support vector machine(SVM) and a group of annotation rules were used to support documental level annotation and lexical level annotation.

This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).

The support vector machine has avoided the dimension disaster with the inner product operation.

Then, using support vector machine classifier to conduct quality classification on speed ratio control valve.

Support vector machine is a highly performance classification method.