资源列表
IIEC06_219_1533620
- this about risk managment problems-this is about risk managment problems....
63913910104
- this about risk managment problems-this is about risk managment problems....
5
- this about risk managment problems-this is about risk managment problems....
gpml
- 高斯过程建模：可以针对多输入多输出对象进行建模。-Gaussian process modeling: You can object for multi-input multi-output modeling.
Analysis of Outdoor Propagation Models: Hata Model
- This assignment was completed an analysis of outdoor propagation via Hata Model. The analysis was done through the graphically method which involve with numerous environments; urban area, sub-urban area and open area. Besides that, the analysis also
obstacle-avoid
- automatic control model vehicle obstacle avoidance
notch_filter_50hz
- 一个滤除50Hz及其整倍数的陷波器生成代码，以及对其产生原理的说明。-A filter and a whole multiple of 50Hz notch generated code, and a descr iption of its principle of generation.
NPC
- 一个程序来诱使一个天真的可能性分类的朴素贝叶斯分类器（可能性模拟）和诱导幼稚的可能性分级分类新的数据。-A program to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes classifier) and to classify new data with an induced naive possibilistic classifier.
mpRegression
- 多元多项式回归，即一个程序，一个程序，对于给定的数据确定最小误差平方多项式。输出值也可能被转化运用Logit变换，从而使多元logistic回归。如何应用此程序的简要描述，可以发现在C源码包文件中的倒退/ EX / README。-A program for multivariate polynomial regression, i.e., a program that determines a minimum squared error polynomial for given data. T
INES
- 学习一个图形化的模型（贝叶斯网络或可能性网络）从数据集的样本情况下，从一个贝叶斯网络来生成一个随机的数据集，评估学习网络WRT的程序一组测试数据和参考网络，以及测量条件的依赖性的优势。-Programs to learn a graphical model (Bayesian network or possibilistic network) from a dataset of sample cases, to generate a random dataset from a Bayesian
huff
- 呃，就是用赫夫曼算法写的压缩解压程序。非常粗糙，只能压缩英文文章。因为里面的字符概率是基于自然语言的，源代码之类的没法压缩。而且会抛弃最后几个字母，嘿嘿。为了交作业，没有好好写。改一下下应该能挺好的。压缩比能到60 吧-Uh, is to use Huffman compression decompression algorithm written procedures. Very rough, only compress English articles. Because there is t
Apriori
- 这个特殊的Apriori是基于前缀树表示所需的计数器和使用双递归计划，算上交易查找频繁项集和关联规则。-This special Apriori is based on a prefi x tree representation of the needed counters and uses a doubly recursive scheme to count the transactions to Find Frequent Item Sets and Association Rul