图 书 馆开课单位--鲁汶大学
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1Network-based Data Integration for Computational Systems Biology[基于网络的计算系统生物学数据集成]
Kathleen Marchal(鲁汶大学) With the advent of new molecular profiling techniques, genome-wide datasets describing interactions between molecular entities (i.e., mRNA, proteins, ...
热度：23
Kathleen Marchal(鲁汶大学) With the advent of new molecular profiling techniques, genome-wide datasets describing interactions between molecular entities (i.e., mRNA, proteins, ...
热度：23
234FO(ID) as an Extension of DL with Rules[作为DL规则的扩展的FO（ID）]
Joost Vennekens(鲁汶大学) There are many interesting Knowledge Representation questions surrounding rule languages for the Semantic Web. The most basic one is of course: which ...
热度：86
Joost Vennekens(鲁汶大学) There are many interesting Knowledge Representation questions surrounding rule languages for the Semantic Web. The most basic one is of course: which ...
热度：86
5A Simple Model for Sequences of Relational State Descriptions[关系状态描述的序列的简单模型]
Ingo Thon; Niels Landwehr; Luc De Raedt(鲁汶大学) Artificial intelligence aims at developing agents that learn and act in complex environments. Realistic environments typically feature a variable numb...
热度：60
Ingo Thon; Niels Landwehr; Luc De Raedt(鲁汶大学) Artificial intelligence aims at developing agents that learn and act in complex environments. Realistic environments typically feature a variable numb...
热度：60
6Candidate gene prioritization by genomic data fusion[候选基因排序的基因组数据融合]
Yves Moreau(鲁汶大学) The overwhelming amount of biological data makes the assignment of candidate genes to diseases and biological pathways a formidable challenge. We pres...
热度：70
Yves Moreau(鲁汶大学) The overwhelming amount of biological data makes the assignment of candidate genes to diseases and biological pathways a formidable challenge. We pres...
热度：70
7Probabilistic account for multi-view stereo[多视点立体视觉的概率论]
Rik Fransens(鲁汶大学) This paper describes a method for dense depth reconstruction from wide-baseline images. In a wide-baseline setting an inherent difficulty which compli...
热度：44
Rik Fransens(鲁汶大学) This paper describes a method for dense depth reconstruction from wide-baseline images. In a wide-baseline setting an inherent difficulty which compli...
热度：44
8Scalable Structured Low Rank Matrix Optimization Problems[可扩展结构化低秩矩阵优化问题]
Marco Signoretto(鲁汶大学) We consider a class of structured low rank matrix optimization problems. We represent the desired structure by a linear map, termed mutation, that can...
热度：85
Marco Signoretto(鲁汶大学) We consider a class of structured low rank matrix optimization problems. We represent the desired structure by a linear map, termed mutation, that can...
热度：85
9Welcome to ROKS 2013[欢迎来到韩国2013]
Johan Suykens(鲁汶大学) Very welcome to the ROKS 2013 International Workshop on advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory a...
热度：72
Johan Suykens(鲁汶大学) Very welcome to the ROKS 2013 International Workshop on advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory a...
热度：72
10Variant prioritization by genomic data fusion[基于基因组数据融合的变异优先排序]
Yves Moreau(鲁汶大学) NGS has rapidly increased our ability to discover the cause of many previously unresolved rare monogenic disorders by sequencing rare exomic variation...
热度：137
Yves Moreau(鲁汶大学) NGS has rapidly increased our ability to discover the cause of many previously unresolved rare monogenic disorders by sequencing rare exomic variation...
热度：137