开课单位--国赫尔辛基科技机构
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Targeted retrieval of gene expression measurements using regulatory models[使用调控模型的基因表达测量的目标检索 ]
  Elisabeth Georgii(国赫尔辛基科技机构) **Motivation:** Large public repositories of gene expression measurements offer the opportunity to position a new experiment into the context of earli...
热度：33

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Unsupervised Learning by Discriminating Data from Artificial Noise[从人工噪声中识别数据的无监督学习]
  Michael Gutmann(国赫尔辛基科技机构) Noise-contrastive estimation is a new estimation principle that we have developed for parameterized statistical models. The idea is to train a classif...
热度：44

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Generalization to Unseen Cases: (No) Free Lunches and Good-Turing estimation[泛化到看不见的情况下:(没有)免费午餐和良好的图灵的评估]
  Teemu Roos(国赫尔辛基科技机构)
热度：33

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Online feature selection for contextual time series data[上下文时间序列数据的在线特征选择]
  Petteri Nurmi(国赫尔辛基科技机构) We propose a simple and eficient method for online feature selection from time series data. Our method is based on calculating characteristics of the ...
热度：27

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Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions[伯努利分布混合物的简洁易懂的描述 ]
  Jaakko Hollmén(国赫尔辛基科技机构 ) Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models f...
热度：107
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