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decision-trees
- 决策树lisp代码 决策树lisp代码-decision tree lisp code decisio n tree lisp code
decision-making-tree-algorithm
- One kind of decision-making tree algorithm, can be seen as one kind data mining algorithm ,find the rule from large-scale data middle.
deboor-cox.rar
- 目的:运用强化学习!多分类器集成!降维方法等最新计算机技术,结合细胞病理知识,设计制作/智能化肺癌细胞病理图像诊断系统0"方法:采集细胞图像,运用基于强化学习的图像分割法将细胞区域从背景中分离出来 运用基于样条和改进2方法对重叠细胞进行分离和重构 提取40个细胞特征用于贝叶斯!支持向量机!紧邻和决策树4种分类器,集成产生肺癌细胞分类结果 建立肺癌细胞病理图库,运用基于等降维方法对细胞进行比对,给予未定型癌细胞分类"结果:/智能化肺癌细胞病理诊断系统0应用于临床随机1200例肺
feedback.rar
- 判决反馈均衡器实现判决，很好的东西,Decision feedback equalizer to achieve decision, good things
C4_5.rar
- 决策树C45，用matlab编写的，数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
c4.5.rar
- 决策树c4.5算法的c++实现 希望对大家有用,C4.5 decision tree algorithm c++ to achieve useful for all of us hope
Markov_Decision_Process(MDP)
- Markov Decision Process (MDP) Toolbox
c4.5
- 决策树关联规则比较经典的算法，通常一下大型的应用项目使用，因为其稳定，实用！-Comparison of the classical association rules decision tree algorithm, usually about the use of large-scale application projects, because of its stability, and practical!
C4_5.m
- 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
ID3
- 实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
tcm_8psk_viterbi
- 通信中的8psk&tcm的体制研究，matlab源程序代码，采用viterbi译码方式，同时适用于软判决和硬判决两种方式-Communication 8psk & tcm institutional research, matlab source code, using viterbi decoding method applies to both soft-decision and hard decision in two ways
Convolutional_code
- 实现卷积码的BPSK调制、vitbi译码及软硬判决与未编码的BPSK误码率的对比-Convolutional codes to achieve BPSK modulation, vitbi hard and soft decision decoding and BPSK and uncoded BER comparison
CART
- 这是一个分类和回归树算法，它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation.
decision-tree
- 本程序实现了一个决策树生成程序， 决策树学习是应用最广的归纳推理算法之一。这是一种逼近离散值函数的方法，对噪声数据有很好的健壮性且能够学习析取表达式。在这种方法中学习到的函数被表示为一棵决策树。学习得到的决策树也能再被表示多个if-then规则，以提高可读性。本程序附带详细的说明文档-decision tree ID3
tree
- 决策树算法的matlab实现，主要适用的是id3 算法思想-Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking
decision+tree
- 决策树，很经典，不是一般的经典，你看看吧-Decision tree, it is classic, not an ordinary classic, you take a look at it
decision
- decision tree matlab code
decision-tree
- 该算法是数据挖掘中的数据分类算法，通过构造决策树，进而实现对数据的分类。-Data classification, decision tree structure
Fuzzy-Decision-Tree-Algorithms
- Fuzzy Decision Tree Algorithms
decision tree
- 决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。本代码提供生成决策树的算法。(A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including c