开课单位--都灵理工学院
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Unreasonable Effectiveness of Learning Artificial Neural Networks[人工神经网络学习的不合理有效性]
Riccardo Zecchina(都灵理工学院) Deep networks are some of the most widely used tools in data science. Learning is in principle a hard problem in these systems, but in practice heuris...
热度:57
Riccardo Zecchina(都灵理工学院) Deep networks are some of the most widely used tools in data science. Learning is in principle a hard problem in these systems, but in practice heuris...
热度:57
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A message-passing approach to stochastic optimization and inverse dynamical problems[一种随机优化和逆动态问题的消息传递方法]
Riccardo Zecchina(都灵理工学院) We will discuss how statistical physics techniques developed for the study of stochastic optimization problems can be used to design efficient algorit...
热度:54
Riccardo Zecchina(都灵理工学院) We will discuss how statistical physics techniques developed for the study of stochastic optimization problems can be used to design efficient algorit...
热度:54
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Majority Classification by means of Association Rules[多数分类通过关联规则]
Elena Baralis(都灵理工学院) 多数分类通过关联规则
热度:26
Elena Baralis(都灵理工学院) 多数分类通过关联规则
热度:26
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