图 书 馆开课单位--马克斯普朗克研究所
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31Introduction to the Workshop[关于车间的介绍]
Matthias W. Seeger(马克斯普朗克研究所) In this workshop, we aim to highlight important problems and to gather ideas of how to address them. The target audience are practitioners, providing ...
热度：29
Matthias W. Seeger(马克斯普朗克研究所) In this workshop, we aim to highlight important problems and to gather ideas of how to address them. The target audience are practitioners, providing ...
热度：29
32Flash Floods and Ripples: The Spread of Media Content through the Blogosphere[洪流和涟漪：媒体内容在博客圈中的传播 ]
Meeyoung Cha(马克斯普朗克研究所) Blogs are a popular way to share personal journals, discuss matters of public opinion, pursue collaborative conversations, and aggregate content on si...
热度：48
Meeyoung Cha(马克斯普朗克研究所) Blogs are a popular way to share personal journals, discuss matters of public opinion, pursue collaborative conversations, and aggregate content on si...
热度：48
33The Emergence of Conventions in Online Social Networks[网络社交网络中公约的出现]
Farshad Kooti(马克斯普朗克研究所) The way in which social conventions emerge in communities has been of interest to social scientists for decades. Here we report on the emergence of a ...
热度：43
Farshad Kooti(马克斯普朗克研究所) The way in which social conventions emerge in communities has been of interest to social scientists for decades. Here we report on the emergence of a ...
热度：43
34An Efficient Sampling Scheme For Comparison of Large Graphs[一种有效的大图比较抽样方案]
Karsten Michael Borgwardt(马克斯普朗克研究所) As new graph structured data is being generated, graph comparison has become an important and challenging problem in application areas such as molecul...
热度：15
Karsten Michael Borgwardt(马克斯普朗克研究所) As new graph structured data is being generated, graph comparison has become an important and challenging problem in application areas such as molecul...
热度：15
35Splice form prediction using Machine Learning[使用机器学习进行拼接形式预测]
Gunnar Rätsch(马克斯普朗克研究所) Accurate ab initio gene finding is still a major challenge in computational biology. We employ state-of-the-art machine learning techniques based on H...
热度：57
Gunnar Rätsch(马克斯普朗克研究所) Accurate ab initio gene finding is still a major challenge in computational biology. We employ state-of-the-art machine learning techniques based on H...
热度：57
36Factor models for QTL studies[QTL研究的因子模型]
Oliver Stegle(马克斯普朗克研究所) The recent availability of large scale data sets profiling single nucleotide polymorphisms (SNPs) and gene expression across different human populatio...
热度：67
Oliver Stegle(马克斯普朗克研究所) The recent availability of large scale data sets profiling single nucleotide polymorphisms (SNPs) and gene expression across different human populatio...
热度：67
37Spectral Plot Properties: Qualitative Classification of Networks[谱图属性：网络的定性分类]
Anirban Banerjee(马克斯普朗克研究所) We introduce a tentative classification scheme for empirical networks based on global qualitative properties detected through the spectrum of the Lapl...
热度：35
Anirban Banerjee(马克斯普朗克研究所) We introduce a tentative classification scheme for empirical networks based on global qualitative properties detected through the spectrum of the Lapl...
热度：35
38Discovering Common Sequence Variation in Arabidopsis thaliana[拟南芥中常见序列变异的研究]
Gunnar Rätsch(马克斯普朗克研究所) In order to characterize natural sequence variation in 20 strains of the model plant Arabidopsis thaliana, whole-genome resequencing with high-density...
热度：49
Gunnar Rätsch(马克斯普朗克研究所) In order to characterize natural sequence variation in 20 strains of the model plant Arabidopsis thaliana, whole-genome resequencing with high-density...
热度：49
3940Context-specific Independence Mixture Modelling for Protein Families[上下文特定的独立混合模型的蛋白质家族]
Benjamin Georgi(马克斯普朗克研究所)
热度：38
Benjamin Georgi(马克斯普朗克研究所)
热度：38