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嵌入式/单片机编程 The evaluation software will be operational for a limited time only. Please contact your nearest IAR
The evaluation software will be operational for a limited time only. Please contact your nearest IAR Systems office or IAR Systems distributor if you want to purchase the full version of the product (contact link found below).
matlab例程 digital image interpolation techniques including nearest neighbor, bilinear, bicubic and splin
digital image interpolation techniques including nearest neighbor, bilinear, bicubic and spline interpolation.
matlab例程 data mining k nearest neighbour
data mining k nearest neighbour
电源技术 利用高压看门狗定时器加强汽车安全系统
 
Abstract: As electronic systems take over many of the mechanical functions in a car—ranging from engine timing to steering andbraking—there is a growing concern about fault tolerance. There should not be a single point of failure that would prevent a car fromat least "limping" ...
数值算法/人工智能 Rainbow is a C program that performs document classification usingone of several different methods,
Rainbow is a C program that performs document classification usingone of several different methods, including naive Bayes, TFIDF/Rocchio,K-nearest neighbor, Maximum Entropy, Support Vector Machines, Fuhr sProbabilitistic Indexing, and a simple-minded form a shrinkage withnaive Bayes.
matlab例程 物流分析工具包。Facility location: Continuous minisum facility location, alternate location-allocation (ALA)
物流分析工具包。Facility location: Continuous minisum facility location, alternate location-allocation (ALA) procedure, discrete uncapacitated facility location
Vehicle routing: VRP, VRP with time windows, traveling salesman problem (TSP)
Networks: Shortest path, min cost network flow, minimum spa ...
数学计算 在visual basic环境下
在visual basic环境下，实现k-nearest neighbor算法。
并行计算 How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters S
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-e ...
系统设计方案 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法
朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法，非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法，其基本思想相当直观：Rocchio法来源于信息检索系统，后来最早由Hull在1994年应用于分类[74]，从那以后，Rocchio方法就在文本 ...