Search - Artificial Intelligence

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[DataMining] word2vec DL : 0: word2vec 实现词向量生成，用于自然语言分析，数据挖掘，人工智能等-word2vec achieve word vector generation for natural language analysis, data mining and artificial intelligence. . . . .
Date : Size : 138kb User : wanwei
[DataMining] Lmethod DL : 0: L-method in R statistical language. Implementation of the L-method algorithm for finding the best number of clusters in hierarchical clustering. Algorithm is described here: Salvador, S. and Chan, P., 2004. Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms. In: Proceedings of the16th IEEE International Conference on Tools with Artificial Intelligence, 576–584.
Date : Size : 1kb User : Jacek
[DataMining] findKN DL : 0: 在数据挖掘、人工智能等领域中，都常用到KD树来进行K近邻查找。本程序是自己用C++实现的一个KD树来进行的K近邻查找程序，包含建树和查找。文件中附有测试文件。-In data mining, artificial intelligence and other areas, it is commonly used to KD tree to find K nearest neighbor. This procedure is K neighbor Finder C++ they used to achieve a KD tree to carry out, including achievements and search. File with the test file.
Date : Size : 6.16mb User : 风之痕lch
[DataMining] kmeans DL : 0: 对数据和图像进行聚类分析，k-means聚类方法多应用于模式识别，人工智能，机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
Date : Size : 1kb User : Source Pill
[DataMining] 人工智能 DL : 1: 从生物学开始到自然语言挖掘介绍人工智能，通识性的文档，对人工智能入门有极大的帮助。(From biology to natural language mining, the introduction of artificial intelligence, general knowledge documents, has a great help to the introduction of artificial intelligence.)
Date : Size : 12.47mb User : eezhcui
[DataMining] LTDNQ33 DL : 0: Numerical Algorithm Artificial Intelligence numerical algori()
Date : Size : 1kb User : piviac
[DataMining] 人工智能哲學 DL : 0: 人工智慧哲學的重要主張包括：圖靈的禮貌公約：如果一個機器的行為可以如人類一般，那麼它就和人類擁有同樣的智能。達特茅斯提議：「如果可以精確的描述學習的所有面向，或智能的任何其它特徵，一個機器就可以被製造來模擬它。」紐厄爾和司馬賀的物理符號系統假設：「物理符號系統具有執行一般智能動作必要的和充分的手段。」塞爾強人工智慧假設：「只要電腦有適當的程式讓能夠正確的輸入和輸出，就能擁有與人類精神相同意義的精神。」霍布斯機制：「理性只是計算。」(Philosophy of artificial intelligence)
Date : Size : 22.03mb User : adasf
[DataMining] 机器学习实战 DL : 0: 机器学习是人工智能研究领域中一个极其重要的研究方向，在现今的大数据时代背景下，捕获数据并从中萃取有价值的信息或模式，成为各行业求生存、谋发展的决定性手段，这使得这一过去为分析师和数学家所专属的研究领域越来越为人们所瞩目。(Machine learning is an extremely important research direction in the field of artificial intelligence. Under the background of the large data age, the capture of data and the extraction of valuable information or patterns have become the decisive means for the survival and development of various industries. This makes the field of research more and more attractive to analysts and mathematicians in the past.)
Date : Size : 13.03mb User : Rnanprince