搜索资源列表
The_Status_Quo_of_Machine_Learning_of_Artificial_I
- 机器学习是人工智能的一个子领域，是人工智能中非常活跃且范围甚广的主要核心研究领域之一，也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果，主要关注于开发一些让计算机可以自动学习的技术，并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展，以及各种机器学习方法，包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等，并简单叙述了机器学习的相关算法，包括决策树算法、随机森林算
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
week04-knn-naivebayes-4pp
- knn naivebayes ppl file
AKNN-
- 一种基于主存-tree的高维数据KNN连接算法-Abroad a tree that the information is not translated literature in the form as a graduation design translation literature as to
KNN
- 话题跟踪与研究，基于knn算法，非常值得思考！-Tracking and research topic, based on the KNN algorithm, very worth considering!
An-improved-K-nearest-neighbor-algorithm-for-text
- its about imporvment of KNN algorithm
fdsfdsbbdkvk
- 用KNN实现QRS波群的检测，使用MIT-BIH数据库，用MATLAB编程仿真-Achieve detection QRS complex using KNN method using MIT-BIH , simulation using MATLAB programming
New-Text-Document
- in the name is c# for algorithm knn