图 书 馆开课单位--西门子公司
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1Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures [贝叶斯子结构学习 - 大型网络结构的近似学习 ]
Andreas Nägele(西门子公司) European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Warsaw 2007 &...
热度：34
Andreas Nägele(西门子公司) European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Warsaw 2007 &...
热度：34
2Poster Spotlights[海报射灯]
Vasu Parameswaran;Pradeep Natarajan;Fabian Nater;Weilong Yang; Antoni Chan;Adriana Kovashka; Ruonan Li;Angela Yao; Shandong Wu;Liangliang Cao; Imran Saleemi;Michalis Raptis; Konstantinos Derpanis(西门子公司)
热度：46
Vasu Parameswaran;Pradeep Natarajan;Fabian Nater;Weilong Yang; Antoni Chan;Adriana Kovashka; Ruonan Li;Angela Yao; Shandong Wu;Liangliang Cao; Imran Saleemi;Michalis Raptis; Konstantinos Derpanis(西门子公司)
热度：46
3Security Applications of Web mining[Web挖掘的安全应用]
Pinar Oezden Wennerberg(西门子公司) Top » Computer Science » Web Mining
热度：53
Pinar Oezden Wennerberg(西门子公司) Top » Computer Science » Web Mining
热度：53
4A general purpose segmentation algorithm using analytically evaluated random walks[一种分析评价随机游动的通用分割算法]
Leo Grady(西门子公司) An ideal segmentation algorithm could be applied equally to the problem of isolating organs in a medical volume or to editing a digital photograph wit...
热度：80
Leo Grady(西门子公司) An ideal segmentation algorithm could be applied equally to the problem of isolating organs in a medical volume or to editing a digital photograph wit...
热度：80
5RDFS with Attribute Equations via SPARQL Rewriting[基于SPARQL重写的属性方程RDFS]
Stefan Bischof(西门子公司) In addition to taxonomic knowledge about concepts and properties typically expressible in languages such as RDFS and OWL, implicit information in an R...
热度：35
Stefan Bischof(西门子公司) In addition to taxonomic knowledge about concepts and properties typically expressible in languages such as RDFS and OWL, implicit information in an R...
热度：35
6Machine Learning with Knowledge Graphs[基于知识图的机器学习]
Volker Tresp(西门子公司) Most successful applications of statistical machine learning focus on response learning or signal-reaction learning where an output is produced as a d...
热度：72
Volker Tresp(西门子公司) Most successful applications of statistical machine learning focus on response learning or signal-reaction learning where an output is produced as a d...
热度：72
7Siemens: Big Data in industrial applications[西门子：在工业应用中的大数据]
Gerhard Kress(西门子公司) 西门子不仅代表了创新产品，基础架构组件和自动化制造，能源，城市和卫生保健。西门子也是欧洲领先的软件公司之一，具有明显的集中在垂直的软件解决方案。在...
热度：141
Gerhard Kress(西门子公司) 西门子不仅代表了创新产品，基础架构组件和自动化制造，能源，城市和卫生保健。西门子也是欧洲领先的软件公司之一，具有明显的集中在垂直的软件解决方案。在...
热度：141
8Innovation Management at Siemens AG[西门子公司创新管理]
Claus Weyrich(西门子公司) It’s a good bet that at least once a day, each of us will use a product or service made possible by the corporate giant Siemens AG. Claus Weyric...
热度：107
Claus Weyrich(西门子公司) It’s a good bet that at least once a day, each of us will use a product or service made possible by the corporate giant Siemens AG. Claus Weyric...
热度：107
9Austria as Europe’s leader in eGovernance: Austrian e‐Card Project[奥地利作为欧洲领先的电子政务系统：奥地利E‐卡项目]
Walter M. Bugnar(西门子公司) In January 2004, the Federation of Austrian Social Insurance Institutions commissioned Siemens IT Solutions and Services with implementing the TP1 sub...
热度：97
Walter M. Bugnar(西门子公司) In January 2004, the Federation of Austrian Social Insurance Institutions commissioned Siemens IT Solutions and Services with implementing the TP1 sub...
热度：97
10Temporal Pattern Mining in Symbolic Time Point and Time Interval Data[在象征性时间点和时间间隔数据中的时间模式挖掘]
Fabian Moerchen(西门子公司) We present a unifying view of temporal concepts and data models in order to categorize existing approaches for unsupervised pattern mining from symbol...
热度：57
Fabian Moerchen(西门子公司) We present a unifying view of temporal concepts and data models in order to categorize existing approaches for unsupervised pattern mining from symbol...
热度：57