图 书 馆开课单位--曼彻斯特大学
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31Interview with Bijan Parsia[采访Bijan Parsia]
Bijan Parsia; Davor Orlič(曼彻斯特大学) Bijan Parsia is a lecturer at the University of Manchester (UK) in the School of Computer Science. We discussed with him at the ISWC 2006 in Athens, G...
热度：54
Bijan Parsia; Davor Orlič(曼彻斯特大学) Bijan Parsia is a lecturer at the University of Manchester (UK) in the School of Computer Science. We discussed with him at the ISWC 2006 in Athens, G...
热度：54
32Developing Software Across Time Zones: An Exploratory Empirical Study[跨时区开发软件：探索性实证研究]
Adel Taweel(曼彻斯特大学) 跨时区开发软件：探索性实证研究
热度：40
Adel Taweel(曼彻斯特大学) 跨时区开发软件：探索性实证研究
热度：40
33Presentation of Western Balkans Futures: Foresight 2020 Project[西部巴尔干期货的介绍: 展望2020项目]
Ozcan Saritas(曼彻斯特大学) 西部巴尔干期货的介绍：展望2020项目
热度：31
Ozcan Saritas(曼彻斯特大学) 西部巴尔干期货的介绍：展望2020项目
热度：31
34Quality, Trust, and Utility of Scientific Data on the Web: Towards a Joint Model[互联网上科学数据的质量、信任和效用：走向联合模型]
Matthew Gamble(曼彻斯特大学) In science, quality is paramount. As scientists increasingly look to the Web to share and discover scienti fic data, there is a growing need to suppor...
热度：48
Matthew Gamble(曼彻斯特大学) In science, quality is paramount. As scientists increasingly look to the Web to share and discover scienti fic data, there is a growing need to suppor...
热度：48
35Statistical Methods[概率统计]
Paul Taylor(曼彻斯特大学) These two sessions give an introduction to classical statistics. The first talk is a brief coverage of some basic statistical theory that I feel mi...
热度：40
Paul Taylor(曼彻斯特大学) These two sessions give an introduction to classical statistics. The first talk is a brief coverage of some basic statistical theory that I feel mi...
热度：40
36Sparse Multi-output Gaussian Processes[稀疏的多输出高斯过程]
Mauricio Alvarez(曼彻斯特大学) In this work we propose a sparse approximation for the full covariance matrix involved in the multiple output convolution process. We exploit the fact...
热度：52
Mauricio Alvarez(曼彻斯特大学) In this work we propose a sparse approximation for the full covariance matrix involved in the multiple output convolution process. We exploit the fact...
热度：52
37Gaussian process toolkit for modelling the dynamics of transcriptional regulation[高斯过程建模的工具包的动态转录监管]
Pei Gao(曼彻斯特大学) The complex dynamics of cells and tissues are regulated in part by networks of interacting genes and proteins. The structure of the interaction networ...
热度：31
Pei Gao(曼彻斯特大学) The complex dynamics of cells and tissues are regulated in part by networks of interacting genes and proteins. The structure of the interaction networ...
热度：31
38Dense message passing for sparse principal component analysis[稀疏主成分分析的密集消息传递]
Kevin Sharp(曼彻斯特大学) We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging...
热度：27
Kevin Sharp(曼彻斯特大学) We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging...
热度：27
39Where the thoughts dwell: Physiology of neuronal glial networks[思想的栖息地:神经胶质网络的生理学]
Alexej Verkhratsky(曼彻斯特大学) Max-Planck Institute and Faculty of Medicine University of Maribor Partner symposium on Communicating Physiology
热度：35
Alexej Verkhratsky(曼彻斯特大学) Max-Planck Institute and Faculty of Medicine University of Maribor Partner symposium on Communicating Physiology
热度：35
40The Challenge of Predicting Gene Function[预测基因功能的挑战 ]
Ross D. King(曼彻斯特大学 ) The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. A c...
热度：48
Ross D. King(曼彻斯特大学 ) The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. A c...
热度：48