开课单位--鲁汶大学
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Network-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:16
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:16
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FO(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:73
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:73
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A 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:46
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:46
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Candidate 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:59
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:59
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Probabilistic 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:31
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:31
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Scalable 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:63
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:63
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Welcome 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:57
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:57
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Variant 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:108
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:108