搜索资源列表
C45Driver1
- C4.5 is an upgrade version of ID3, which solves issues that are not addressed by ID3, e.g. C4.5 can handle missing value and continuous features.-C4.5 is an upgrade version of ID3, which solves issues that are not addressed by ID3, eg C4.5 can handle
Senfore_DragDrop_v4.1
- Drag and Drop Component Suite Version 4.1 Field test 5, released 16-dec-2001 ?1997-2001 Angus Johnson & Anders Melander http://www.melander.dk/delphi/dragdrop/ ------------------------------------------- Table of Contents: ----------------------
dineof.tar
- DINEOF重构数据矩阵缺失点的值-Reconstruction of missing data matrix DINEOF point value ~ ~ ~
K-meansNB
- ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记 录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
simulatedannealing
- General simulated annealing algorithm-anneal Minimizes a function with the method of simulated annealing (Kirkpatrick et al., 1983) ANNEAL takes three input parameters, in this order: LOSS is a function handle (anonymous function or
SVDU
- 一种奇异值分解的更新算法，可以用来增量地进行主成分分析，根据文献《Incremental singular value decomposition of uncertain data with missing values》-《Incremental singular value decomposition of uncertain data with missing values》
OSDEVELOP
- 操作系统实现分业分段的值换算法，并进行缺页率的计算和进一步的分段处理-The operating system to achieve sub-industry, the value of sub-conversion method, and to calculate the rate for missing pages and further sub-processing ~ ~ ~
entropy
- The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication".
filter1
- 高通滤波器，带通滤波器，数字FIR滤波器-The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory
0000437
- 2010年ICIP最新文章关于图像复原，提出了2D NHA算法，实验证明了该算法的优越性能。-In this study, we develop a technique for image restoration The proposed method is based on the 2D non-harmonic analy- sis (2D NHA). The 2D NHA algorithm assigns an initial value by using the spect
dadishu
- 打地鼠 一个逻辑简单，实现方法简单的小游戏. 此版本为初版，没有道具系统，游戏过程中也不能暂停，纯粹考验玩家的反应和眼手协调能力，得高分靠的不是RP，是实力！ 游戏规则： 玩家控制锤子去敲打每一只从洞里冒出的老鼠，打死一只获得相应分数，漏掉一只减去一点生命. 老鼠分大中小三种，近大远小，大的移动慢，目标大，一只10分.最小的移动快，目标小，一只30分.中等大小的介于两者之间. 游戏以300分为一个关卡，当玩家得分达到300的倍数
How-Use-ODE45-to-solve-Boundary-Value-ODE
- In MATLAB, usually we use function bvp4c() to solve boundary value problem (BVP) of ODE. However, we also can use function ode45() to solve BVP of ODE too. However, ode45() needs all initial values at one point. Therefore we have to construct an auxi
preprocesszscore
- code for data preproccess in 3 steps :Swap lines with missing value NaN, zscore Normalization, Standardization proce-code for data preproccess in 3 steps :Swap lines with missing value NaN, zscore Normalization, Standardization process
Statistical-Image-Completion-master
- Statistical Image Completion. Image processing project realized for the Image Processing class SI241 at Telecom ParisTech. Based on patches statistics of an image, the program aims at completing a missing part of it. It can be used to delete small ob
SkPdfEmbeddedFileParameterDictionary_autogen
- TODO(edisonn): warn about missing default value for optional fields.
SkPdfResetFormActionDictionary_autogen
- TODO(edisonn): warn about missing default value for optional fields.
SkPdfStructureTreeRootDictionary_autogen
- TODO(edisonn): warn about missing default value for optional fields.bool.
SkPdfTextFieldDictionary_autogen
- TODO(edisonn): warn about missing default value for optional fields.
WordOperateClass
- C#word（2007）操作类 新建文档、添加页眉页脚、设置格式、添加文本和超链接、添加图片、表格处理、文档格式转化-public static bool CreateWordFile(string dir, string fileName) { try { Object oMissing = System.Reflection.Missing.Value if (!Directory.Exists(dir))
missing_value
- This is and exemple on missing value handling