开课单位--都灵理工大学
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Identifying risks in datasets for automated decision–making[识别数据集中的风险以进行自动化决策]
Mariachiara Mecati(都灵理工大学) Identifying risks in datasets for automated decision–making
热度:47
Mariachiara Mecati(都灵理工大学) Identifying risks in datasets for automated decision–making
热度:47
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From clustering to algorithms[从聚类算法]
Riccardo Zecchina(都灵理工大学) In this talk we firstly provide a rigorous probabilistic proof of the clustering phenomenon taking place in the space of solution of random combinator...
热度:73
Riccardo Zecchina(都灵理工大学) In this talk we firstly provide a rigorous probabilistic proof of the clustering phenomenon taking place in the space of solution of random combinator...
热度:73
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Unified survey-belief propagation approach for satisfiability[统一调查信仰可满足性的传播方式]
Marco Pretti(都灵理工大学) In this talk I shall discuss a modified message-passing BP (Belief Propagation) procedure, which can be generally used to minimize variational Bethe f...
热度:53
Marco Pretti(都灵理工大学) In this talk I shall discuss a modified message-passing BP (Belief Propagation) procedure, which can be generally used to minimize variational Bethe f...
热度:53
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Cluster Variation Method: from statistical mechanics to message passing algorithms[集团变分法:从统计力学到消息传递算法]
Alessandro Pelizzola(都灵理工大学) The cluster variation method (CVM) is a hierarchy of approximate variational techniques for discrete (Ising--like) models in equilibrium statistical m...
热度:38
Alessandro Pelizzola(都灵理工大学) The cluster variation method (CVM) is a hierarchy of approximate variational techniques for discrete (Ising--like) models in equilibrium statistical m...
热度:38
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