图 书 馆开课单位--曼彻斯特大学
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21Computing in UK Schools[英国学校的计算机]
Stephen Furber(曼彻斯特大学) Ob prehodu v novo stoletje je nacionalni kurikulum Velike Britanije vključeval predmet IKT. Poudarek IKT je bil predvsem na uporabi računalnikov, na s...
热度：55
Stephen Furber(曼彻斯特大学) Ob prehodu v novo stoletje je nacionalni kurikulum Velike Britanije vključeval predmet IKT. Poudarek IKT je bil predvsem na uporabi računalnikov, na s...
热度：55
22Bayesian Gaussian process latent variable model[贝叶斯高斯过程潜变量模型]
Michalis K. Titsias(曼彻斯特大学) We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensio...
热度：380
Michalis K. Titsias(曼彻斯特大学) We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensio...
热度：380
23Estimating the contribution of non-genetic factors to gene expression using Gaussian process latent variable models[利用高斯过程潜变量模型估算非遗传因素对基因表达的贡献]
Nicolò Fusi(曼彻斯特大学) Thanks to the recent increase in the amount of genetic profiling data available and to the ability to characterize disease activity through gene expr...
热度：58
Nicolò Fusi(曼彻斯特大学) Thanks to the recent increase in the amount of genetic profiling data available and to the ability to characterize disease activity through gene expr...
热度：58
2425Bayesian learning of sparse factor loadings[稀疏的因子载荷的贝叶斯学习]
Magnus Rattray(曼彻斯特大学) Learning sparse structure is useful in many applications. For example, gene regulatory networks are sparsely connected since each gene is typically on...
热度：49
Magnus Rattray(曼彻斯特大学) Learning sparse structure is useful in many applications. For example, gene regulatory networks are sparsely connected since each gene is typically on...
热度：49
26Dynamical Pose Filtering for Mixtures of Gaussian Processes[高斯过程混合的动态姿态过滤]
Martin Fergie(曼彻斯特大学) Computer Science ;Computer Vision
热度：43
Martin Fergie(曼彻斯特大学) Computer Science ;Computer Vision
热度：43
27Towards a semantic foundation for bioinformatics[迈向生物信息学的语义基础]
King Ross D(曼彻斯特大学) With a two and half thousand year tradition logic is the best understood way of representing scientific knowledge. Only logic provides the semantic cl...
热度：48
King Ross D(曼彻斯特大学) With a two and half thousand year tradition logic is the best understood way of representing scientific knowledge. Only logic provides the semantic cl...
热度：48
28An Introduction to OWL[猫头鹰介绍]
Sean Bechhofer(曼彻斯特大学) Starting with an overview of the requirements for defining and using ontologies on the Web Sean will then outline the main concepts and issues associa...
热度：48
Sean Bechhofer(曼彻斯特大学) Starting with an overview of the requirements for defining and using ontologies on the Web Sean will then outline the main concepts and issues associa...
热度：48
29SKOS: Past, Present, Future - and a little bit of history, architecture and engineering [SKOS︰ 过去、 现在、 未来和一点点的历史、 建筑与工程]
Sean Bechhofer(曼彻斯特大学) SKOS (Simple Knowledge Organisation System) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge ...
热度：89
Sean Bechhofer(曼彻斯特大学) SKOS (Simple Knowledge Organisation System) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge ...
热度：89
30Research 15: Automatic Annotation of Web Services based on Workflow Definitions[研究15：基于工作流定义的Web服务的自动注释]
Khalid Belhajjame(曼彻斯特大学)
热度：47
Khalid Belhajjame(曼彻斯特大学)
热度：47