图 书 馆开课单位--鲁汶大学
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41Parameter Learning in Probabilistic Databases: A Least Squares Approach[概率数据库中的参数学习：最小二乘法]
Bernd Gutmann(鲁汶大学) Probabilistic databases compute the success probabilities of queries. We introduce the problem of learning the parameters of the probabilistic dat...
热度：31
Bernd Gutmann(鲁汶大学) Probabilistic databases compute the success probabilities of queries. We introduce the problem of learning the parameters of the probabilistic dat...
热度：31
42Classification in Graphs using Discriminative Random Walks[使用判别随机游动的图表分类]
Jerome Callut(鲁汶大学) This paper describes a novel technique, called D-walks, to tackle semi-supervised classification problems in large graphs. We introduce here a between...
热度：19
Jerome Callut(鲁汶大学) This paper describes a novel technique, called D-walks, to tackle semi-supervised classification problems in large graphs. We introduce here a between...
热度：19
43Induction of Node Label Controlled Graph Grammar Rules[节点标签控制图语法规则的引入]
Hendrik Blockeel(鲁汶大学) Algorithms for inducing graph grammars from sets of graphs have been proposed before. An important class of such algorithms are those based on the Sub...
热度：35
Hendrik Blockeel(鲁汶大学) Algorithms for inducing graph grammars from sets of graphs have been proposed before. An important class of such algorithms are those based on the Sub...
热度：35
44General Graph Refinement with Polynomial Delay[具有多项式时滞的一般图形细化]
Jan Ramon(鲁汶大学) Of many graph mining algorithms an essential component is its procedure for enumerating graphs such that no two enumerated graphs are isomorphic. ...
热度：37
Jan Ramon(鲁汶大学) Of many graph mining algorithms an essential component is its procedure for enumerating graphs such that no two enumerated graphs are isomorphic. ...
热度：37
45Candidate gene prioritization by genomic data fusion[通过基因组数据融合进行候选基因优先排序]
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：57
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：57
46Declarative Modeling For Machine Learning and Data Mining[用于机器学习和数据挖掘的声明式建模]
Luc De Raedt(鲁汶大学) Despite the popularity of machine learning and data mining today, it remains challenging to develop applications and software that incorporates machin...
热度：72
Luc De Raedt(鲁汶大学) Despite the popularity of machine learning and data mining today, it remains challenging to develop applications and software that incorporates machin...
热度：72