开课单位--曼彻斯特大学
21
Computing 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
22
Bayesian 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
23
Estimating 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
24
25
Bayesian 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
26
Dynamical 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
27
Towards 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
28
An 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
29
SKOS: 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
30
Research 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