图 书 馆开课单位--天主教鲁汶大学
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1Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs[标签容忍噪音的隐马尔可夫模型的分割为两个部分：应用ecgs]
Benoît Frénay(天主教鲁汶大学) The performance of traditional classification models can adversely be impacted by the presence of label noise in training observations. The pioneer wo...
热度：88
Benoît Frénay(天主教鲁汶大学) The performance of traditional classification models can adversely be impacted by the presence of label noise in training observations. The pioneer wo...
热度：88
2‘Creative Environment and Young Researchers’ Performance: The Keys to PhD[创造环境与青年研究者的绩效：博士研究的关键 ]
Samo Kropivnik;Benoît Rihoux;Anuška Ferligoj(天主教鲁汶大学) After the lecture and a reaction from the discussant, an open debate will be held with the audience, both on substantive and methodological issues.
热度：50
Samo Kropivnik;Benoît Rihoux;Anuška Ferligoj(天主教鲁汶大学) After the lecture and a reaction from the discussant, an open debate will be held with the audience, both on substantive and methodological issues.
热度：50
3Active Kernel Learning[主动核学习]
Rong Jin(天主教鲁汶大学) Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. In the past, a number of ...
热度：63
Rong Jin(天主教鲁汶大学) Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. In the past, a number of ...
热度：63
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