图 书 馆开课单位--莱芬娜大学
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1Learning from Partially Annotated Sequences[从部分注释的序列中学习]
Ulf Brefeld(莱芬娜大学) We study sequential prediction models in cases where only fragments of the sequences are annotated with the ground-truth. The task does not match the ...
热度：60
Ulf Brefeld(莱芬娜大学) We study sequential prediction models in cases where only fragments of the sequences are annotated with the ground-truth. The task does not match the ...
热度：60
2Feature Selection for Density Level-Sets[密度水平集的特征选择]
Ulf Brefeld(莱芬娜大学) A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the ob...
热度：62
Ulf Brefeld(莱芬娜大学) A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the ob...
热度：62
3Active and Semi-Supervised Data Domain Description[主动和半监督数据域描述]
Ulf Brefeld(莱芬娜大学) Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vect...
热度：39
Ulf Brefeld(莱芬娜大学) Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vect...
热度：39
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