开课单位--苏黎世理工学院
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Submodularity in Machine Learning and Vision[机器学习与视觉中的子模块化]
   Andreas Krause(苏黎世理工学院) Numerous problems in machine learning and vision are inherently discrete. More often than not, these lead to challenging optimization problems. While ...
热度:46

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From Proteins to Robots: Learning to Optimize with Confidence[从蛋白质到机器人:自信地学习优化]
   Andreas Krause(苏黎世理工学院) With the success of machine learning, we increasingly see learning algorithms make decisions in the real world. Often, however, this is in stark contr...
热度:37

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The Minimum Transfer Cost Principle for Model-Order Selection[模型订单选择的最小转移成本原则]
   Morteza Haghir Chehreghani(苏黎世理工学院) The goal of model-order selection is to select a model variant that generalizes best from training data to unseen test data. In unsupervised learning ...
热度:46

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Streaming Submodular Maximization: Massive Data Summarization on the Fly[流子模块最大化:海量数据动态摘要]
   Baharan Mirzasoleiman(苏黎世理工学院) How can one summarize a massive data set "on the fly", i.e., without even having seen it in its entirety? In this paper, we address the prob...
热度:112

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Density estimation of initial conditions for populations of dynamical systems[动力系统种群初始条件的密度估计]
  Alberto Busetto(苏黎世理工学院) A computational approach that estimates the probability density of the initial conditions for a population of dynamical systems is presented. Its scop...
热度:29

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Challenges in Cosmic Shear[宇宙剪切的挑战]
  Alexandre Refregier(苏黎世理工学院) Recent observations have shown that the Universe is dominated by two mysterious components, Dark Matter and Dark Energy. Their nature pose some of the...
热度:35

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Information Theoretic Model Validation by Approximate Optimization[信息论模型的近似优化验证 ]
  Joachim M. Buhmann(苏黎世理工学院) Model selection in pattern recognition requires (i) to specify a suitable cost function for the data interpretation and (ii) to control the degrees of...
热度:36
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