information gain

基本解釋

To the information gain, the processing, processing and the application have become the modern information society to be most basic, one of most vital duties.
對(duì)信息的獲取、加工、處理和應(yīng)用已成為現(xiàn)代信息社會(huì)最基本、最重要的任務(wù)之一。
Modern information technology development,Specially computer impetus, the people are more and more quick to the information gain and processing, this individual now people's aspects.
現(xiàn)代信息技術(shù)的發(fā)展,特別是電腦的推動(dòng)，人們對(duì)信息的獲取和處理越來越快，這個(gè)體現(xiàn)在人們的方方面面。
Information gain is the measurement of the attributes selection in classical decision tree algorithm-ID3, but the attributes with high information gain is not always the valuable attributes.
傳統(tǒng)的ID3決策樹算法以信息增益作為屬性選擇的準(zhǔn)則值，但是信息增益大的屬性并不一定就是有價(jià)值的屬性。

The group was accused of trying to gain information on American nuclear weapons, foreign policy and politics for the SVR -- Russia's foreign intelligence service.

Smart, agile organizations know how to work with such fluid business information to gain significant tactical strategic value by working with digitally eminent influencers.
FORBES: Can You Measure Your Digital Eminence?
The STOCK Act makes it clear that if members of Congress use nonpublic information to gain an unfair advantage in the market, then they are breaking the law.
WHITEHOUSE: President Obama Signs the STOCK Act

信息增益
At the same time, the significance measurement is denoted as the information gain and an algorithm of computing reduct based on this measurement is provided.
用信息論的觀點(diǎn)來解釋屬性約簡的含義，提出用信息增益作為屬性的重要度量，并給出了基于這種重要度量的屬性約簡算法。
信息增量
The main contributions are:A sensor management method based on Quantum-behaved Particle Swarm Optimization (QDPSO) is presented, through analyzing the theories of multi-sensor management. The objective function of sensor management synthetizes the information gain and the process time.
本文首先通過分析目前存在的傳感器管理算法,建立了一個(gè)綜合傳感器信息增量和處理時(shí)間的目標(biāo)函數(shù),提出了基于QDPSO(Quantum-behaved Particle Swarm Optimization)算法的新的傳感器管理的算法模型。
信息熵增益

信息增益
The best influent factors to loadare chosen by information gain.
采用基于信息熵理論的信息增益指標(biāo)來選擇影響負(fù)荷預(yù)測模型的組合因素以及衡量影響的程度。
信息增量