-
apriori算法是数据挖据中的经典关联规则挖掘算法,是由aggwal最早提出来的...
apriori算法是数据挖据中的经典关联规则挖掘算法,是由aggwal最早提出来的-apriori algorithm is data-dug, according to the classical association rule mining algorithm is put forward as early as aggwal
- 2022-03-03 07:50:43下载
- 积分:1
-
Fuzzy logic system VC classes
Fuzzy logic system VC classes
- 2022-04-13 04:14:53下载
- 积分:1
-
利用ICA变换进行人脸检测,是一种新的人脸检测方法
利用ICA变换进行人脸检测,是一种新的人脸检测方法-ICA transform the use of face detection, is a new face detection method
- 2022-04-11 06:19:12下载
- 积分:1
-
人脸检测源代码,是人工智能检索方面比较常用的,大家下班啊
人脸检测源代码,是人工智能检索方面比较常用的,大家下班啊-Face Detection source code, artificial intelligence search area is relatively common, we work ah
- 2022-08-13 07:55:54下载
- 积分:1
-
这个主要介绍会计中软件的应用和会计电算法,里面含有一些讲稿和题目...
这个主要介绍会计中软件的应用和会计电算法,里面含有一些讲稿和题目-This focuses on the application of accounting and accounting software, power algorithm, which contains a number of lectures and topics
- 2022-05-25 08:22:42下载
- 积分:1
-
vb环境下 匈牙利算法的解决 自己编的 仅供参考
vb环境下 匈牙利算法的解决 自己编的 仅供参考-Hungary Algorathm in vb,made by myself ,just for reference
- 2023-02-10 22:40:03下载
- 积分:1
-
基于贝叶斯的数据挖掘算法的实现,使用visual stutio2005编程实现。
基于贝叶斯的数据挖掘算法的实现,使用visual stutio2005编程实现。-Bayesian data mining algorithm, using the visual stutio2005 programming.
- 2023-04-14 10:30:04下载
- 积分:1
-
这个程序是从广度优先搜索,深度优先搜索,A算法以及A算法等多方面算法来解决八数码问题...
这个程序是从广度优先搜索,深度优先搜索,A算法以及A算法等多方面算法来解决八数码问题-This program is breadth-first search, depth-first search, A algorithm and A algorithm and many other algorithms to solve the problem of digital 8
- 2022-12-31 07:30:10下载
- 积分:1
-
这是一个parzen窗口分类算法,希望能给大家的学习有所帮助
这是一个parzen窗口分类算法,希望能给大家的学习有所帮助-This is a Parzen window classification algorithm, we hope that they will be helpful to the learning
- 2022-02-15 06:09:42下载
- 积分:1
-
Statistical learning theory is based on a more solid theoretical basis, in order...
统计学习理论是建立在一套较坚实的理论基础之上的,为解决有限样本学习问题提供了
一个统一的框架。它能将很多现有方法纳入其中,有望帮助解决许多原来难以解决的问题(比
如神经网络结构及参数选择问题);同时。在这一理论基础上发展了一种新的通用学习方法:
支持向量机(Support Vector Machine,SVM)。它己表现出很多优秀的性能,并已经成为当
今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.
- 2022-03-02 21:50:04下载
- 积分:1