Decision
共 85 篇文章
Decision 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 85 篇文章，持续更新中。
c4.5 关于决策树decision tree的matlab实现程序
c4.5 关于决策树decision tree的matlab实现程序
个体商品销售管理及分析系统 —进货处理子系统本文在分析商品进货、营销、存储系统及其特点的基础上
个体商品销售管理及分析系统
—进货处理子系统本文在分析商品进货、营销、存储系统及其特点的基础上，提出将DSS技术运用到市场营销决策上，开发MDSS（Marketing Decision Support System）、CRM、DSM的建议，并就MDSS的总体设计思想及研究方向作简要介绍，以明确系统的基本组成与结构
This document contains official rules of the 3D soccer simulation competition at RoboCup 2006. Whil
This document contains official rules of the 3D soccer simulation competition
at RoboCup 2006. While we will try to cover all cases, if unexpected
events do occur, the rule committee will seek input
％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptro
％For the following 2-class problem determine the decision boundaries
％obtained by LMS and perceptron learning laws.
decision theory判决论英文版
decision theory判决论英文版
This a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming boo
This a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term Evolution” (Wiley, Nov. 2008) which I co-a
决策树分类
决策树分类，Your task for this project is to develop an system which performs a classification task with any various Decision Tree.
Generate_decision_tree算法由数据划分D的训练元组产生决策树。
Generate_decision_tree算法由数据划分D的训练元组产生决策树。
维特比译码程序。viterbi decoder with hard decision
维特比译码程序。viterbi decoder with hard decision
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static ch
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object an
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。
and a simple clustering algorithm.
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a line
Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder 刚才上载的有错误,已修正
Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder
刚才上载的有错误,已修正
The source code for this package is located in src/gov/nist/sip/proxy. The proxy is a pure JAIN-SIP
The source code for this package is located in src/gov/nist/sip/proxy. The proxy
is a pure JAIN-SIP application: it does not need proprietary nist-sip
classes in addition of those defined in JAIN-SI
Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Joint European Conference on Artificial Intelligence in Medicine and
Medical Decision Making
一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genet
一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms.
该文件夹为Alamouti空时码的仿真程序
该文件夹为Alamouti空时码的仿真程序，天线配置为2发2收。
主要程序的用途说明：
mainMIMO_OFDMA_2Tx_SER.m: 主程序，设置各种参数
gendata.m: 生成原始信息数据的程序
mod_2Tx_STBC_DFUSC.m：调制程序
gen_SUI_CorrCIR.m: 生成信道冲击响应的程序
get_perfectCE_2x2.m: 生成理想信道估计值的程序
machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision
machine learning, accuracy estimation, cross-validation,
bootstrap, ID3, decision trees, decision graphs, naive-bayes,
decision tables, majority, induction algorithms, classifiers,
categorizers,
Simulation of RM(1,3), equivalent to the (8,4,4) extended Hamming code. Soft-decision decoding perf
Simulation of RM(1,3), equivalent to the (8,4,4) extended Hamming code.
Soft-decision decoding performed by the Green machine