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logistic_demo
使用Logistic Regression来讲解Probabilistic Classification Methods并绘出正确图表(Logistic Regression to explain the use of Probabilistic Classification Methods and draw the correct diagram)
- 2010-11-08 22:21:04下载
- 积分:1
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《matlab 7辅助信号处理技术与应用》下载资料
说明: 《matlab 7辅助信号处理技术与应用》下载资料,是学习信号处理的理想的资料。( "matlab 7 Cueing signals Processing Technology And Application"
download the material, is studies the signal processing the ideal
material. )
- 2005-09-29 00:48:15下载
- 积分:1
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gaosi
通过matlab语言编程,实现利用Gauss消去法求解线性方程组(Through matlab language programming, using the Gauss elimination method for solving linear equations)
- 2013-10-06 20:48:52下载
- 积分:1
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souning
有借鉴意义哦,BP神经网络的整个训练过程,空间目标识别,采用PM算法。( There are reference Oh, The entire training process BP neural network, Space target recognition algorithm using PM.)
- 2016-12-27 18:20:50下载
- 积分:1
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ModelsimSimulink
Modelsim和Simulink协同仿真,很经典!!!!!(Modelsim Simulink)
- 2009-07-15 17:19:38下载
- 积分:1
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RSSI_Theory
RSSI仿真定位算法 ,使用RSSI算法进行定位( RSSI location algorithm simulation, using the RSSI algorithm to locate)
- 2021-01-30 09:58:38下载
- 积分:1
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High-quality-CPP-programming-guide
本书是《高质量c++编程指南》,林锐博士著,针对编程过程中可能会遇到的若干容易被忽略的问题进行了分析。(This book is "high-quality c++ Programming Guide" Dr. Lin Rui book for several problems easily overlooked programming process may encounter analyzed.)
- 2013-11-23 00:16:16下载
- 积分:1
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adjustBW
Bandwidth (signal processing) or analog bandwidth, frequency bandwidth or radio bandwidth: a measure of the width of a range of frequencies, measured in hertz
Bandwidth (computing) or digital bandwidth: a rate of data transfer, bit rate or throughput, measured in bits per second (bps)
Spectral linewidth: the width of an atomic or molecular spectral line, measured in hertz
- 2011-08-16 14:48:36下载
- 积分:1
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mad
Matlab code for speech processing
- 2015-03-24 20:26:20下载
- 积分:1
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active-learning-code
Learning_random.m : 随机选择样例,从(90)pool里随机选择样本,删除版本空间树的数量
activeLearning.m:根据最大熵原则,从pool里选择样本,删除版本空间树的数量
getlabel.m:根据树和测试样例,得到根据该树得到的类标
getTrees.m:从提供的大量树结构(随机生成的)中,随机挑选一定数量的树(如果该树的叶子节点无类标随机添加)
RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树,
RandomCreateTree_d_all.m:根据所有样本点的割点建造树
randomdata.m:给定属性取值,造数据
randomselect.m:从数据中随机选择一部分作为
showTree.m:显示树的结构
test.m:给出树,测试样例,得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)
- 2012-10-10 22:33:44下载
- 积分:1