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  1. AN INTRODUCTION TO GRAPHICAL model

  2. author:Michael I. Jordan Graphical models are a marriage between graph theory and probability theory  They clarify the relationship between neural networks and related network-based models such as HMMs, MRFs, and Kalman lters  Indeed, they can be
  3. 所属分类:专业指导

    • 发布日期:2009-07-03
    • 文件大小:558080
    • 提供者:valley116
  1. Naive Bayes and TAN graph model for classification

  2. 实现了NB 和 TAN graph model的分类器 并用UIC数据集合测试
  3. 所属分类:Java

    • 发布日期:2010-11-09
    • 文件大小:182272
    • 提供者:tangrock
  1. SIGMOD10_pregel Pregel a system for large sclae graph processing

  2. google的大规模图形处理引擎 Pregel的论文 In this paper we present a computational model suitable for this task. Programs are expressed as a sequence of iterations, in each of which a vertex can receive messages sent in the previous iteration, send messages to oth
  3. 所属分类:其它

    • 发布日期:2011-03-04
    • 文件大小:485376
    • 提供者:lghost1201
  1. 图数据库 Graph Databases

  2. This book provides a practical foundation for those who want to apply graph databases to real-world business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them. Wi
  3. 所属分类:数据库

    • 发布日期:2013-06-07
    • 文件大小:4194304
    • 提供者:blkf
  1. Graph Database

  2. Discover how graph databases can help you manage and query highly connected data. With this practical book, youll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whethe
  3. 所属分类:其它

    • 发布日期:2013-11-12
    • 文件大小:4194304
    • 提供者:u010690935
  1. Graph Transformations and Model-Driven Engineering

  2. Graph Transformations and Model-Driven Engineering -- Essays Dedicated to Manfred Nagl on the Occasion of his 65th Birthday Lecture Notes in Computer Science 5765
  3. 所属分类:专业指导

    • 发布日期:2014-01-22
    • 文件大小:11534336
    • 提供者:jiangdmdr
  1. Graph-based Natural Language Processing and Information Retrieval

  2. Graphs are ubiquitous. There is hardly any domain in which objects and their relations cannot be intuitively represented as nodes and edges in a graph. Graph theory is a well-studied sub-discipline of mathematics, with a large body of results and a
  3. 所属分类:专业指导

    • 发布日期:2014-02-22
    • 文件大小:1048576
    • 提供者:elie_001
  1. The Definitive Book on Graph Databases

  2. 图数据库Neo4j权威指南 The Definitive Book on Graph Databases and Introduction to Neo4j Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that
  3. 所属分类:其它

    • 发布日期:2015-05-14
    • 文件大小:9437184
    • 提供者:u011267362
  1. Graph-Based.Social.Media.Analysis.14987

  2. Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and
  3. 所属分类:Web开发

    • 发布日期:2016-01-15
    • 文件大小:26214400
    • 提供者:ramissue
  1. Practical Graph Analytics with Apache Giraph(PACKT,2015)

  2. Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation's Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social
  3. 所属分类:Web开发

    • 发布日期:2016-02-17
    • 文件大小:8388608
    • 提供者:vanridin
  1. An Introduction to Combinatorics and Graph Theory

  2. Title An Introduction to Combinatorics and Graph Theory Authors David Guichard Publisher: David Guichard (February 18, 2017) Language: English Book Descr iption Combinatorics is a branch of mathematics concerning the study of finite or countable dis
  3. 所属分类:其它

    • 发布日期:2017-05-26
    • 文件大小:1042432
    • 提供者:ivorstar
  1. Daphne Koller_Probabilistic Graphical Models

  2. Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is mo
  3. 所属分类:机器学习

    • 发布日期:2017-12-18
    • 文件大小:8388608
    • 提供者:binglel
  1. probability graph model(概率图模型)

  2. probability graph model(概率图模型)英文原版,可以复制
  3. 所属分类:机器学习

    • 发布日期:2018-07-25
    • 文件大小:10485760
    • 提供者:weixin_41677877
  1. Recommendation-system-based-on-knowledge-graph-embedding:基于知识图嵌入的推荐系统-源码

  2. 基于知识图嵌入的推荐系统 基于知识图嵌入的推荐系统 本系统是一个基于知识图嵌入的商品推荐系统,以下是该系统的详细介绍,基本代码都是自己所写,TransE和Rescal方法实现部分是照着论文与相关代码自己进行的复现,并且相关代码中都有我写的一些注释。 1.generate_data.py是用于生成模拟数据,在进行真实使用时可以参照所生成的模拟数据的格式进行数据录入 2.data文件夹下需要有entities.txt以及relations.txt两个数据,他们分别是实体(people和items)
  3. 所属分类:其它

    • 发布日期:2021-03-11
    • 文件大小:1048576
    • 提供者:weixin_42153793
  1. Graph-based-Recommendation-System:图卷积矩阵完成-源码

  2. 基于图的推荐系统 我们仓库的结构 . |-- README.md (here) |-- log (saved tensorboard log file) |-- ml-100k (raw dataset) |-- weights (saved model weights) |-- text (grid search text and ablation study results) |-- data (processed data) |-- Network Visualization.ipynb
  3. 所属分类:其它

    • 发布日期:2021-03-11
    • 文件大小:26214400
    • 提供者:weixin_42099176
  1. Context-sensitive Web service discovery over the bipartite graph model

  2. Context-sensitive Web service discovery over the bipartite graph model
  3. 所属分类:其它

    • 发布日期:2021-02-21
    • 文件大小:1048576
    • 提供者:weixin_38646706
  1. pagerank-graph-model:一种基于图论概念的理解Google PangeRank算法的模型-源码

  2. PageRank图模型 基于图论概念的理解Google PangeRank算法的模型。 PageRank是Google用来筛选大量网页的算法,因此,在搜索结果中,您和我只会看到与我们搜索相关的最重要和最有用的信息。 归功于Search Engine Land上的Danny Sullivan,以获取上图( )。 目录 图论如何与PageRank相关 如果互联网确实有两件事情做得很好,那就是: 存储信息,以及 用信息将人们联系起来 事实证明,图形是建模Web的最佳数据结构。 为什么? 这是因
  3. 所属分类:其它

    • 发布日期:2021-02-12
    • 文件大小:71680
    • 提供者:weixin_42117340
  1. Multi-Document Summarization Based on the Term-Sentence-Document Tri-layer Graph Model

  2. Multi-Document Summarization Based on the Term-Sentence-Document Tri-layer Graph Model
  3. 所属分类:其它

    • 发布日期:2021-02-10
    • 文件大小:1015808
    • 提供者:weixin_38669832
  1. Factor Graph Model Based User Profile Matching Across Social Networks

  2. Factor Graph Model Based User Profile Matching Across Social Networks
  3. 所属分类:其它

    • 发布日期:2021-02-08
    • 文件大小:1048576
    • 提供者:weixin_38674569
  1. Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation

  2. Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation
  3. 所属分类:其它

    • 发布日期:2021-02-08
    • 文件大小:2097152
    • 提供者:weixin_38629801
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