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instance-Counting

紅外線遙控器讀碼軟件

紅外線遙控器讀碼軟件，顯示紅外線波型，讀取并保存碼 IR　Remote Control Unit Code Read System 產(chǎn)品詳細(xì)描述：能夠像顯示器一樣顯示紅外線碼的波型可以讀多達(dá)１５０種格式的紅外線碼顯示紅外線碼的時(shí)間非常準(zhǔn)確，誤差只有幾個(gè)微秒。具有錯(cuò)誤檢測(cè)功能保存紅外線碼功能自動(dòng)識(shí)別碼的格式比較樣機(jī)與所寫(xiě)的新軟件的遙控器碼的異同具體情況請(qǐng)?jiān)L問(wèn)本網(wǎng)站：http://www.crzman.com/IR_Reader.htm Display the Infrared wave on the software like oscillograph. Can read more than 150 kinds of infrared code format Display the Infrared time and the tolerance no more than many us. Have error detect function Save Infrared code function Auto identify code s format Compare the code from sample and new Remote Control Unit code) Detail instance please visit address: http://www.crzman.com/IR_Reader.htm

標(biāo)簽： 紅外線遙控器軟件

上傳時(shí)間： 2015-07-03

上傳用戶：ccclll
不曉得干嘛用的

不曉得干嘛用的，主要講的是這個(gè)Function Point Counting Rules

標(biāo)簽：

上傳時(shí)間： 2015-07-13

上傳用戶：manking0408
MD5加密算法java實(shí)現(xiàn) * 下面這些S11-S44實(shí)際上是一個(gè)4*4的矩陣

MD5加密算法java實(shí)現(xiàn) * 下面這些S11-S44實(shí)際上是一個(gè)4*4的矩陣，在原始的C實(shí)現(xiàn)中是用#define 實(shí)現(xiàn)的，這里把它們實(shí)現(xiàn)成為static final是表示了只讀，切能在同一個(gè)進(jìn)程空間內(nèi)的多個(gè) Instance間共享*/

標(biāo)簽： java MD5 11 44

上傳時(shí)間： 2015-07-18

上傳用戶：lps11188
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, general logic diagrams, instance-based algorithms, discretization, lazy learning, bagging, MineSet.

標(biāo)簽： decision cross-validation estimation bootstrap

上傳時(shí)間： 2015-07-26

上傳用戶：趙云興
Octane v1.01.20 The Open Compression Toolkit for C++ . The Open Compression Toolkit is a set of mo

Octane v1.01.20 The Open Compression Toolkit for C++ . The Open Compression Toolkit is a set of modular C++ classes and utilities for implementing and testing compression algorithms. Simple interface and skeleton code for creating new compression algorithms. Complete testing framework for validating and comparing new algorithms. Support for algorithms that use external dictionaries/headers. Utility classes and sample code for bitio, frequency counting, etc.

標(biāo)簽： Compression Toolkit Open The

上傳時(shí)間： 2013-12-31

上傳用戶：dbs012280
SVMmulticlass: Multi-class classification. Learns to predict one of k mutually exclusive classes. Th

SVMmulticlass: Multi-class classification. Learns to predict one of k mutually exclusive classes. This is probably the simplest possible instance of SVMstruct and serves as a tutorial example of how to use the programming interface.

標(biāo)簽： classification SVMmulticlass Multi-class exclusive

上傳時(shí)間： 2013-12-26

上傳用戶：稀世之寶039
Visual Basic Shell Programming ventures where none have gone before by showing how to develop shell

Visual Basic Shell Programming ventures where none have gone before by showing how to develop shell extensions that more closely integrate an application with the Windows shell, while at the same time providing an advanced tutorial-style treatment of COM programming with Visual Basic. Each major type of shell extension gets attention, including customized context menu handlers, per instance icons, and customized property sheets.

標(biāo)簽： Programming ventures develop showing

上傳時(shí)間： 2016-02-01

上傳用戶：tb_6877751
matlab雨流算法。The rain flow algorithm code has been prepared according to the ASTM standard (Standard p

matlab雨流算法。The rain flow algorithm code has been prepared according to the ASTM standard (Standard practices for cycle counting in fatigue analysis) and optimized considering the calculation time.

標(biāo)簽： algorithm according Standard prepared

上傳時(shí)間： 2016-02-07

上傳用戶：上善若水
樸素貝葉斯(Naive Bayes, NB)算法是機(jī)器學(xué)習(xí)領(lǐng)域中常用的一種基于概率的分類算法

樸素貝葉斯(Naive Bayes, NB)算法是機(jī)器學(xué)習(xí)領(lǐng)域中常用的一種基于概率的分類算法，非常簡(jiǎn)單有效。k近鄰法(k-Nearest Neighbor, kNN)[30,31]又稱為基于實(shí)例(Example-based, Instance-bases)的算法，其基本思想相當(dāng)直觀：Rocchio法來(lái)源于信息檢索系統(tǒng)，后來(lái)最早由Hull在1994年應(yīng)用于分類[74]，從那以后，Rocchio方法就在文本分類中廣泛應(yīng)用起來(lái)。

標(biāo)簽： Naive Bayes NB 貝葉斯

上傳時(shí)間： 2014-01-03

上傳用戶：wxhwjf
AutomaticPropertiesDefaultValues Article_src.zip PropertyInfo[] props = o.GetType().GetPropert

AutomaticPropertiesDefaultValues Article_src.zip PropertyInfo[] props = o.GetType().GetProperties(BindingFlags.Public | BindingFlags.NonPublic | BindingFlags.Instance | BindingFlags.Static) for (int i = 0 i < props.Length i++) { PropertyInfo prop = props[i] if (prop.GetCustomAttributes(true).Length > 0) { object[] defaultValueAttribute = prop.GetCustomAttributes(typeof(DefaultValueAttribute), true) if (defaultValueAttribute != null) { DefaultValueAttribute dva = defaultValueAttribute[0] as DefaultValueAttribute if(dva != null) prop.SetValue(o, dva.Value, null) }

標(biāo)簽： AutomaticPropertiesDefaultValues PropertyInfo Article_src GetPropert

上傳時(shí)間： 2014-11-22

上傳用戶：xaijhqx