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his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
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information gain calculation in Matlab
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ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available)
Information gain is defined as:
InfoGain(Class,Attribute) = H(Class) - H(Class | At
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利用matlab的lpc function 實做出將input source音檔算出其coefficent and gain並由上述資料可以重新合成還原音訊-The lpc function using matlab real audio file to make the input source is calculated by its coefficent and gain reduction above information can be re-synthesized audio
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决策树ID3算法的MATLAB程序，这里采用信息增益的方法.-MATLAB program of Decision Tree Algorithm ID3，by the information gain.
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MATLAB下的决策树ID3算法，应用信息增益来划分节点-ID3 decision tree algorithm under MATLAB application information gain to divide the node
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